Дисертації: "Model Based Systems Engineering Approach"

1

Pastrana, John. "Model-Based Systems Engineering Approach to Distributed and Hybrid Simulation Systems." Doctoral diss., University of Central Florida, 2014. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6336.

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INCOSE defines Model-Based Systems Engineering (MBSE) as "the formalized application of modeling to support system requirements, design, analysis, verification, and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases." One very important development is the utilization of MBSE to develop distributed and hybrid (discrete-continuous) simulation modeling systems. MBSE can help to describe the systems to be modeled and help make the right decisions and partitions to tame complexity. The ability to embrace conceptual modeling and interoperability techniques during systems specification and design presents a great advantage in distributed and hybrid simulation systems development efforts. Our research is aimed at the definition of a methodological framework that uses MBSE languages, methods and tools for the development of these simulation systems. A model-based composition approach is defined at the initial steps to identify distributed systems interoperability requirements and hybrid simulation systems characteristics. Guidelines are developed to adopt simulation interoperability standards and conceptual modeling techniques using MBSE methods and tools. Domain specific system complexity and behavior can be captured with model-based approaches during the system architecture and functional design requirements definition. MBSE can allow simulation engineers to formally model different aspects of a problem ranging from architectures to corresponding behavioral analysis, to functional decompositions and user requirements (Jobe, 2008).
Ph.D.
Doctorate
Industrial Engineering and Management Systems
Engineering and Computer Science
Industrial Engineering

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2

Kinder, Andrew M. K. "A model-based approach to System of Systems risk management." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/27553.

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The failure of many System of Systems (SoS) enterprises can be attributed to the inappropriate application of traditional Systems Engineering (SE) processes within the SoS domain, because of the mistaken belief that a SoS can be regarded as a single large, or complex, system. SoS Engineering (SoSE) is a sub-discipline of SE; Risk Management and Modelling and Simulation (M&S) are key areas within SoSE, both of which also lie within the traditional SE domain. Risk Management of SoS requires a different approach to that currently taken for individual systems; if risk is managed for each component system then it cannot be assumed that the aggregated affect will be to mitigate risk at the SoS level. A literature review was undertaken examining three themes: (1) SoS Engineering (SoSE), (2) M&S and (3) Risk. Theme 1 of the literature provided insight into the activities comprising SoSE and its difference from traditional SE with risk management identified as a key activity. The second theme discussed the application of M&S to SoS, providing an output, which supported the identification of appropriate techniques and concluding that, the inherent complexity of a SoS required the use of M&S in order to support SoSE activities. Current risk management approaches were reviewed in theme 3 as well as the management of SoS risk. Although some specific examples of the management of SoS risk were found, no mature, general approach was identified, indicating a gap in current knowledge. However, it was noted most of these examples were underpinned by M&S approaches. It was therefore concluded a general approach SoS risk management utilising M&S methods would be of benefit. In order to fill the gap identified in current knowledge, this research proposed a new model based approach to Risk Management where risk identification was supported by a framework, which combined SoS system of interest dimensions with holistic risk types, where the resulting risks and contributing factors are captured in a causal network. Analysis of the causal network using a model technique selection tool, developed as part of this research, allowed the causal network to be simplified through the replacement of groups of elements within the network by appropriate supporting models. The Bayesian Belief Network (BBN) was identified as a suitable method to represent SoS risk. Supporting models run in Monte Carlo Simulations allowed data to be generated from which the risk BBNs could learn, thereby providing a more quantitative approach to SoS risk management. A method was developed which provided context to the BBN risk output through comparison with worst and best-case risk probabilities. The model based approach to Risk Management was applied to two very different case studies: Close Air Support mission planning and the Wheat Supply Chain, UK National Food Security risks, demonstrating its effectiveness and adaptability. The research established that the SoS SoI is essential for effective SoS risk identification and analysis of risk transfer, effective SoS modelling requires a range of techniques where suitability is determined by the problem context, the responsibility for SoS Risk Management is related to the overall SoS classification and the model based approach to SoS risk management was effective for both application case studies.

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3

Yacinthe, Samuel. "System Safety Development of a Performance PHEV Through a Model-Based Systems Engineering Approach." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469025640.

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4

FERRETTO, DAVIDE. "Innovative Model Based Systems Engineering approach for the design of hypersonic transportation systems." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2839867.

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5

Kerns, Corey Michael. "Naval Ship Design and Synthesis Model Architecture Using a Model-Based Systems Engineering Approach." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/32459.

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The Concept and Requirements Exploration process used at Virginia Tech is based on a Multi-Objective Optimization approach that explores the design space to produce a Non-Dominated set of ship design solutions ranked objectively by Cost, Risk, and Effectiveness. Prior research and effort has also been made to leverage the validation and verification of the U.S. Navyâ s ship synthesis design tool, ASSET, into the Virginia Tech Ship Synthesis Model. This thesis applies Design Structure Matrix theory to analyze and optimize the ASSET synthesis process by reducing or removing the feedback dependencies that require the iterative convergence process. This optimized ASSET synthesis process is used as the basis to develop a new Simplified Ship Synthesis Model (SSSM) using Commercial Off-The-Shelf (COTS) software, ASSET Response Surface Models (RSMs) and simplified parametric equations to build the individual synthesis modules. The current method of calculating an Overall Measure of Effectiveness (OMOE) used at Virginia Tech is based on expert opinion and pairwise comparison. This thesis researches methods for building a Design Reference Mission (DRM) composed of multiple operational situations (OpSits) required by the shipâ s mission. The DRM is defined using a Model Based Systems Engineering (MBSE) approach and an overall Ship Design System Architecture to define and understand the relationships between various aspects of the ship design. The system architecture includes the DRM and enables the development of Operational Effectiveness Models (OEMs) as an alternative to an expert opinion-based OMOE. The system architecture also provides the means for redefining and optimizing the entire ship design process by capturing the entire process and all related data into a single repository. This thesis concludes with a preliminary assessment of the utility of these various system engineering tools to the naval ship design process.
Master of Science

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6

Herzig, Sebastian J. I. "A Bayesian learning approach to inconsistency identification in model-based systems engineering." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53576.

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Designing and developing complex engineering systems is a collaborative effort. In Model-Based Systems Engineering (MBSE), this collaboration is supported through the use of formal, computer-interpretable models, allowing stakeholders to address concerns using well-defined modeling languages. However, because concerns cannot be separated completely, implicit relationships and dependencies among the various models describing a system are unavoidable. Given that models are typically co-evolved and only weakly integrated, inconsistencies in the agglomeration of the information and knowledge encoded in the various models are frequently observed. The challenge is to identify such inconsistencies in an automated fashion. In this research, a probabilistic (Bayesian) approach to abductive reasoning about the existence of specific types of inconsistencies and, in the process, semantic overlaps (relationships and dependencies) in sets of heterogeneous models is presented. A prior belief about the manifestation of a particular type of inconsistency is updated with evidence, which is collected by extracting specific features from the models by means of pattern matching. Inference results are then utilized to improve future predictions by means of automated learning. The effectiveness and efficiency of the approach is evaluated through a theoretical complexity analysis of the underlying algorithms, and through application to a case study. Insights gained from the experiments conducted, as well as the results from a comparison to the state-of-the-art have demonstrated that the proposed method is a significant improvement over the status quo of inconsistency identification in MBSE.

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7

Raper, Adrian. "An expert systems approach to model based signal processing of shock phenomena." Thesis, University of Southampton, 1988. https://eprints.soton.ac.uk/52268/.

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Expert systems have been proposed as a means of storing and applying a human expert's knowledge and problem solving skills. This would be a valuable facility in the area of signal processing as analysts already rely on computers for numerical manipulation of data. This research describes the successful conception and realising of software to assist a technically competent person in directing, applying and interpreting of signal processing algorithms with particular reference to the interpretation of measured responses to shock excitation. If a structure has been excited by some driving force, a measured response contains information about parts of the structure involved in the movement. An analyst given the measurement and asked to underdtand and explain the process that caused it will interpret the signal by building a model. The model is initially an empty shell but is made specific to the data by extracting information from the signal or prior knowledge. Information in the signal is stored in two ways; the numeric data values that represent the measured variable and the patterns visible to the eye when the data values are plotted against time. The information from the numeric values is extracted using algorithms which emphasise the previously hidden information. The design of the expert system has a model of the vibration process at its heart and aims to make it specific to the data just as the analyst does. There are three sections to the program, choice of a model, defining the components of the model and finally producing a report of the analysis. The first and third sections use rule based inference but the middle section is founded on a new architecture tuned for model building. It is a blackboard control structure organised to represent a linear system model. Knowledge sources are attached to each component and are scheduled by the user. A graphical interface is provided through which the user can view any part of the model in signal or symbolic format. Software is provided that creates the signals that form a view of the model and keeps the linear system causal. There are two main areas of knowlege application that give the program unique powers. One is in characterising features in the measurement emphasised by some algorithm as parameters of one of the components. The other is in finding a comparison whereby the accuracy of the parameter, in terms of how well it lets the model mimic the measurement, is established. Both these procedures are dominated by exploiting the user's ability to find patterns in noisy signals. This is particularly true when the model can generate different views of a signal. One statistical method of assessing a parameter value is explored and that is an adaptation of the maximum likelihood function used to find the confidence of epoch locations.

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8

Qamar, Ahsan. "An Integrated Approach towards Model-Based Mechatronic Design." Licentiate thesis, KTH, Mekatronik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-35374.

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Mechatronic design is an enigma. On the one hand, mechatronic products promise enhanced functionality, and better performance at reduced cost. On the other hand, optimizing mechatronic design concepts is a major challenge to overcome during the design process. In the past, less attention has been paid to the life phases of a mechatronic product, and it was assumed that modifications in electronics and software will ensure that the product performs to expectation throughout its life time. However it has been realized that introducing design changes in mechatronics is not easy, since it is difficult to assess the consequences of a design decision, both during the design process of a new product, and during a design modification. It is also realized that there is a strong need to consider the product's life phases during the early phases of product development. Furthermore, it is rather difficult to perform a design optimization since it requires introducing changes across different domains, which is not well supported by the methods and tools available today. This thesis investigates the topic of mechatronic design and attacks some of the major challenges that have been identified regarding the design of mechatronic products. The goal is to provide support to the designers to facilitate better understanding of the consequences of their design choices as early as possible. The work also aims to provide support for assessing alternative design concepts, and for optimizing a design concept based on requirements, constraints and designer preferences at the time of design. The thesis highlights three main challenges related to mechatronic product development: the need for a common language during conceptual design; the inadequate information transfer between engineering domains; and the difficulty in assessing the properties of competing mechatronic concepts. A model-based integration approach is presented, and these key challenges are considered in relation to an integrated modeling and design infrastructure. The approach is illustrated through the design of two mechatronic systems- a two degrees-of-freedom robot, and a hospital bed propulsion system. Initial results provide evidence of good potential for information transfer across mechatronic domains. Although SysML was used for the case studies, some important questions were raised about its suitability as a common language for mechatronics. Suggestions for future work are: to utilize the developed infrastructure and incorporate a capability to model and assess consequences of competing design concepts; provide support for optimizing these concepts; and evaluate the usefulness of the developed infrastructure in a real-world design setting. These efforts should provide ample information to the designer for making adequate decisions during the design process.
QC 20110629

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9

Kerzhner, Aleksandr A. "Using logic-based approaches to explore system architectures for systems engineering." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44748.

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This research is focused on helping engineers design better systems by supporting their decision making. When engineers design a system, they have an almost unlimited number of possible system alternatives to consider. Modern systems are difficult to design because of a need to satisfy many different stakeholder concerns from a number of domains which requires a large amount of expert knowledge. Current systems engineering practices try to simplify the design process by providing practical approaches to managing the large amount of knowledge and information needed during the process. Although these methods make designing a system more practical, they do not support a structured decision making process, especially at early stages when designers are selecting the appropriate system architecture, and instead rely on designers using ad hoc frameworks that are often self-contradictory. In this dissertation, a framework for performing architecture exploration at early stages of the design process is presented. The goal is to support more rational and self-consistent decision making by allowing designers to explicitly represent their architecture exploration problem and then use computational tools to perform this exploration. To represent the architecture exploration problem, a modeling language is presented which explicitly models the problem as an architecture selection decision. This language is based on the principles of decision-based design and decision theory, where decisions are made by picking the alternative that results in the most preferred expected outcome. The language is designed to capture potential alternatives in a compact form, analysis knowledge used to predict the quality of a particular alternative, and evaluation criteria to differentiate and rank outcomes. This language is based on the Object Management Group's System Modeling Language (SysML). Where possible, existing SysML constructs are used; when additional constructs are needed, SysML's profile mechanism is used to extend the language. Simply modeling the selection decision explicitly is not sufficient, computational tools are also needed to explore the space of possible solutions and inform designers about the selection of the appropriate alternative. In this investigation, computational tools from the mathematical programming domain are considered for this purpose. A framework for modeling an architecture selection decision in mixed-integer linear programming (MIP) is presented. MIP solvers can then solve the MIP problem to identify promising candidate architectures at early stages of the design process. Mathematical programming is a common optimization domain, but it is rarely used in this context because of the difficulty of manually formulating an architecture selection or exploration problem as a mathematical programming optimization problem. The formulation is presented in a modular fashion; this enables the definition of a model transformation that can be applied to transform the more compact SysML representation into the mathematical programming problem, which is also presented. A modular superstructure representation is used to model the design space; in a superstructure a union of all potential architectures is represented as a set of discrete and continuous variables. Algebraic constraints are added to describe both acceptable variable combinations and system behavior to allow the solver to eliminate clearly poor alternatives and identify promising alternatives. The overall framework is demonstrated on the selection of an actuation subsystem for a hydraulic excavator. This example is chosen because of the variety of potential architecture embodiments and also a plethora of well-known configurations which can be used to verify the results.

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10

Andersson, Henric. "Variability and Customization of Simulator Products : A Product Line Approach in Model Based Systems Engineering." Doctoral thesis, Linköpings universitet, Maskinkonstruktion, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-73572.

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AIRCRAFT DEVELOPERS, like other organizations within development and manufacturing, are experiencing increasing complexity in their products and growing competition in the global market. Products are built from increasingly advanced technologies and their mechanical, electronic, and software parts grow in number and become more interconnected. Different approaches are used to manage information and knowledge of products in various stages of their lifecycle. "Reuse" and "Model Based Development" are two prominent trends for improving industrial development efficiency. The product line approach is used to reduce the time to create product variants by reusing components. The model based approach provides means to capture knowledge about a system in the early lifecycle stages for usage throughout its entire lifetime. It also enables structured data management as a basis for analysis, automation, and team collaboration for efficient management of large systems and families of products. This work is focused on the combination of methods and techniques within; modeling and simulation-based development, and (re)use of simulation models through the product line concept. With increasing computational performance and more efficient techniques/tools for building simulation models, the number of models increases, and their usage ranges from concept evaluation to end-user training. The activities related to model verification and validation contribute to a large part of the overall cost for development and maintenance of simulation models. The studied methodology aims to reduce the number of similar models created by different teams during design, testing, and end-user support of industrial products. Results of the work include evaluation of a configurator to customize and integrate simulation models for different types of aircraft simulators that are part of a simulator product family. Furthermore, contribution comprises results where constraints in the primary product family (aircraft) govern the configuration space of the secondary product family (simulators). Evaluation of the proposed methodology was carried out in cooperation with the simulator department for the 39 Gripen fighter aircraft at Saab Aeronautics.
FLYGPLANSTILLVERKARE LIKSOM andra industrier inom utveckling och tillverkning, hanterar ökande komplexitet i sina produkter och upplever en större konkurrens på den globala marknaden. Produkter byggs från allt mer avancerad teknologi. Ingående delar av mekanik, elektronik och mjukvara växer i antal och blir allt mer integrerade. Olika metoder används för att hantera information och kunskap om produkter i olika steg av dess livscykel. ”Återanvändning” och ”Modellbaserad utveckling” är två tydliga trender för att öka effektiviteten inom industriell utveckling. Produktfamiljer används för att minska ledtider när man skapar varianter av produkter genom att återanvända färdiga komponenter. Modellbaserade metoder ger möjlighet att tidigt i livscykeln samla kunskap om ett system för att användas under hela systemets livstid. De ger också strukturerad hantering av data som grund för analys, automatisering och samarbete mellan utvecklingsteam, vilket är en förutsättning för effektiv hantering av komplexa system och produkter. Detta arbete är fokuserat på en kombination av metoder och tekniker för; utveckling som baseras på modellering och simulering, och (åter)användning av simuleringsmodeller. Med ökande beräkningsprestanda och effektivare metoder/verktyg för att bygga simuleringsmodeller så ökar antalet modeller och deras användning spänner allt från konceptvärderingen till utbildning av slutanvändare. Arbetet med verifiering och validering av simuleringsmodeller utgör en stor del av deras totala utvecklings- och underhållskostnader. De studerade metoderna syftar till att minska antalet liknande modeller som hanteras av olika team för olika syften, som till exempel; utveckling, verifiering och som stöd för slutanvändare. Resultat av arbete inkluderar utvärdering av en konfigurator för att välja, integrera och anpassa simuleringsmodeller för olika typer av flygplanssimulatorer i en simulatorproduktfamilj. Dessutom bidrar arbetet med en metodik där begränsningarna i den primära produktfamiljen (flygplan) begränsar konfigurationsutrymmet för den sekundära produktfamiljen (simulatorer). Utvärdering av den föreslagna metoden har genomförts i samarbete med simulatoravdelning för flygplan 39 Gripen på Saab Aeronautics.

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11

Yap, Xiang Ling. "A model-based approach to regulating electricity distribution under new operating conditions." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/72905.

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Thesis (S.M. in Technology and Policy)-- Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2012.
Vita. Cataloged from PDF version of thesis.
Includes bibliographical references (p. 147-152).
New technologies such as distributed generation and electric vehicles are connecting to the electricity distribution grid, a regulated natural monopoly. Existing regulatory schemes were not designed for these new technologies and may not provide distribution companies with adequate remuneration to integrate the new technologies. To investigate how regulation should change in the presence of new technologies, current regulatory schemes and possible improvements to make them suitable for new technologies are reviewed. A Reference Network Model capable of calculating the costs of building a distribution network is utilized to compare the costs of accommodating different penetrations and locations of distributed generation. Results for residential generators with a 3 kW/unit power output show that as the penetration of generators among residential customers increases, costs initially decrease but then increase at higher penetration levels. A comparison of results for residential generators with results for distributed generator conurbations located far away from customers shows that residential and far away generators require similar investment costs when total distributed generation power output is lower than effective customer demand. However, when total distributed generation power output exceeds effective demand, residential generators necessitate higher investment costs than far away generators. At all levels of distributed generation power output, residential generators imply lower losses costs than far away generators. A second Reference Network Model capable of calculating the costs of expanding an existing distribution network is utilized to compare the costs of expanding a network to accommodate new technologies under different technology management approaches. Results show that network investment costs are lower for an actively managed network than for a passively managed network, illustrating the potential benefits of active management. Based on an analysis of the modeling results and the regulatory review, an ex ante schedule of charges for distributed generators that incorporates forecast levels of DG penetration is suggested to improve remuneration adequacy for the costs of integrating distributed generation. To promote active management of distribution networks, measures such as funding pots, outputs-focused regulatory schemes, and regulating total expenditure rather than separating the regulation of capital and operating expenditure are selected as proposals.
by Xiang Ling Yap.
S.M.in Technology and Policy

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12

Baduel, Ronan. "An integrated model-based early validation approach for railway systems." Thesis, Toulouse 2, 2019. http://www.theses.fr/2019TOU20083.

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L’ingénierie système est un domaine où l’on étudie la conception de systèmes complexes. Un système est une solution que l’on veut développer, par exemple un train ou un réseau de satellites. Un système complexe est composé de différents éléments indépendants. Les ingénieurs travaillent à partir de listes d’attentes vis à vis du système, chacune caractérisant ce qu’il doit être ou doit faire. Ils créent alors un système et vérifient qu’il répond aux attentes. Afin de gagner du temps et de l’argent, on souhaite vérifier que le système correspond aux attentes avant même de le réaliser. Cela demande d’intégrer les différentes attentes et spécifier comment elles doivent être mises ensembles, générant ainsi un système attendu que l’on peut valider. Le but de la thèse est de fournir une méthode permettant d'intégrer les informations caractérisant un système de train au cours de sa conception, permettant ainsi la spécification, la représentation et la validation de son comportement
System engineering is a domain that studies the conception of complex system. A system corresponds to a solution we want to develop, such as a train, a satellite network, etc. A complex system is composed of several independent elements Engineers work from lists of individual expectations regarding the system to be or what it is supposed to do, which they use to create a system and see if it answers expectations. To gain time and money, we would like to check that the system-to-be answers expectations before developing it: it requires to integrate expectations and specify how they should be put together, inducing a system expected that we can check. The goal pursued in this PhD is to provide a method to integrate information regarding a train system during conception, enabling the specification, representation and validation of its behavior

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13

Karlow, Brandon (Brandon James). "Modernizing systems engineering : cognitive systems and model-based approaches for spacecraft architecture development." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/95582.

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Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, Engineering Systems Division, 2014.
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 230-239).
Systems engineering exists as a discipline to enable organizations to control and manage the development of complex hardware and software. These methods are particularly essential in the development of space systems, which feature extremely challenging demands for engineering performance, coupled with extremely limited resources for accomplishing them. Success requires careful attention to the relationships between various components as well as the organizations constructing them. Unfortunately, aerospace organizations routinely struggle with the traditional systems engineering process, and as a result, program managers experience pressure to conclude, curtail or ignore critical elements. The consequence is that cost overruns, slipped schedules and outright failures are a regular feature of the industry. Recent advances in Model-Based Systems Engineering (MBSE) tools and methods provide an opportunity to rectify these issues by better integrating systems engineering capabilities into the engineering development process. By directly networking the engineering models used in the development process to each other and the systems diagrams which describe them, MBSE has the potential to make the development process more responsive to design evolutions and account for changes across the entire space system. In this way, systems engineering could become a more integrated part of the development process and better contribute to successful space systems. Unfortunately, current-generation MBSE tools and methods have yet to fully realize this potential. Critical capability gaps have deterred adoption and relegated their use to academic endeavors. This thesis argues that many of the difficulties encountered in current systems engineering practice - as well as attempts to reform that practice - can be explained with reference to distributed cognition, control theory and the wider field of cognitive systems engineering. Existing tools and techniques, while nominally fulfilling the purposes assigned to them, generally fail to adequately support systems engineers in the cognitive tasks associated with the control and management of development processes. As a result, systems engineers are frequently overburdened in their roles and are unable to fully address the myriad of concerns relevant to the design of good system solutions. A cognitive analysis of the software and hardware devices situated in practical instantiations of development activities can reveal opportunities to improve performance and enhance effectiveness. Such changes would make systems engineering tools easier to use and better tailored to the needs of the system engineering task, encouraging adoption and accomplishing the goals of the MBSE community. A cognitively-informed MBSE approach, in addition to better linking the elements of the engineering effort, can also be used to link the engineering effort to the higher-level needs which drive the engineering process in the first place. One of the biggest challenges any engineering organization faces is managing the "how," "why," and "what" of system development, that is, the engineering logic which determines "how" a given program or system will be built and the business, political or policy logic which determines "why" and "what" system will come into being. Often, these latter concerns are poorly addressed by the space system development process, which can lead to sub-optimal outcomes for the wider organizations involved in the engineering project. Methods which better systematize, quantify and direct the process of stakeholder analysis, concept generation and architecture exploration can aid in the selection of system architectures that better meet the strategic objectives of the organizations which develop and operate space systems. Such methods are demonstrated with respect to an evaluation of possible architectures for a notional large, ultraviolet-visible-near-infrared (UV-VIS-NIR) optical space telescope to succeed Hubble in the late 2020s to early 2030s timeframe. This research draws on MBSE concepts and the legacy of tradespace modeling for system design to extend tradespace modeling to the realm of architectural exploration. Its particular interest is the quantitative treatment of "programmatic factors": the business, policy and political considerations which govern high-level decision-making. Through modeling, these considerations can be directly associated with engineering performance factors, enabling better selection decisions and reinforcing linkages and understanding between the engineering and management levels within an organization. It is intended to leverage existing work in stakeholder modeling, real options, strategic evolution and tradespace exploration to bridge existing divisions between systems engineering and programmatic decision-making processes which can lead to poorly optimized architectures. It is geared towards systems engineers and program managers seeking to account for organizational and higher-level stakeholder needs during the tradespace exploration process and more efficiently and practically integrate these decision frameworks in real-world engineering environments.
by Brandon Karlow.
S.M. in Technology and Policy
S.M.

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14

Cosentino, Valerio. "A model-based approach for extracting business rules out of legacy information systems." Phd thesis, Ecole des Mines de Nantes, 2013. http://tel.archives-ouvertes.fr/tel-00984763.

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Today's business world is very dynamic and organizations have to quickly adjust their internal policies to follow the market changes. Such adjustments must be propagated to the business logic embedded in the organization's information systems, that are often legacy applications not designed to represent and operationalize the business logic independently from the technical aspects of the programming language employed. Consequently, the business logic buried in the system must be discovered and understood before being modified. Unfortunately, such activities slow down the modification of the system to new requirements settled in the organization policies and threaten the consistency and coherency of the organization business. In order to simplify these activities, we provide amodel-based approach to extract and represent the business logic, expressed as a set of business rules, from the behavioral and structural parts of information systems. We implement such approach for Java, COBOL and relational database management systems. The proposed approach is based on Model Driven Engineering,that provides a generic and modular solution adaptable to different languages by offering an abstract and homogeneous representation of the system.

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15

Neto, Valdemar Vicente Graciano. "A simulation-driven model-based approach for designing software-intensive systems-of-systems architectures." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-06072018-110150/.

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Context: Software-intensive systems have been increasingly interoperated forming alliances termed as Systems-of-Systems (SoS). SoS comprises a collection of systems joined to achieve a set of missions that none of the systems can accomplish on its own. Each constituent system keeps its own management, goals, and resources while coordinating within the SoS and adapting to meet SoS goals. Applications of SoS range from traffic control to emergency response and crisis management. As SoS often support critical domains, such systems must be correct by dealing with malfunction or defects and avoiding failures that could cause extensive damage and losses to the users. Problem: Correct SoS operations depend on a precise specification and a rigorous attestation of its operational consistency. However, besides limitations on languages to jointly capture SoS structure and behavior, predictions on the SoS operational consistency rely on constituent systems not totally known at design-time. Therefore, SoS have been developed and deployed without evaluating their operations, since current languages do not support such precision in evaluation. Objectives: This thesis provides solutions founded on a formal architectural description language to support an early evaluation of SoS operation regarding SoS structure and behavior by means of simulations. Contribution: The main contributions of this project comprise (i) a model transformation approach for automatically producing simulation models from SoS software architecture descriptions, combining SoS structure and behavior description in a same solution, (ii) a SoS software architecture evaluation method for SoS operation prediction considering the inherent changes that can occur, (iii) environment modelling and automatic generation of stimuli generators to sustain the SoS simulation, delivering data to feed such simulation, and (iv) a method for the automatic synchronization between the runtime descriptive architecture (changed at runtime due to dynamic architecture) and its original prescriptive architecture based on model discovery and recovery mechanisms and a backward model transformation. Evaluation: We conducted case studies to assess our solutions using Flood Monitoring SoS and Space SoS. Results: Our solutions support a high accuracy to (i) produce fault-free and fully operational simulations for SoS software architectures, (ii) support evaluation and prediction of SoS operation at design-time, (iii) automatically generate stimuli generators to sustain and feed the simulation execution, and (iv) maintain the synchronization between the runtime architecture and the intended version of the SoS architecture. Conclusions: We concluded that the proposed solutions advance the state of the art in SoS software architecture evaluation by offering solutions to predict the SoS operations effectiveness to maintain a continuous operation despite architectural changes, providing more trust for users that futurely shall rely on SoS services.
Contexto: Sistemas intensivos em software tem sido interoperados para formar alianças conhecidas como Sistemas-de-Sistemas (SoS). Domínios de aplicação de SoS variam do controle de tráfego ao gerenciamento de situações de crises e emergência. Devido à criticidade destes domínios, tais sistemas precisam ser confiáveis e robustos, lidando com potenciais defeitos e mal funcionamento, e evitando falhas que poderiam causar ameaças à integridade dos usuários. Problema: O funcionamento correto de um SoS depende da especificação precisa e da garantia rigorosa da consistência de suas operações. Entretanto, além das limitações nas linguagens quanto à especificação de ambos estrutura e comportamento do SoS, prever seu comportamento depende da especificação de constituintes que não são totalmente conhecidos em tempo de projeto e de seu comportamento emergente. Neste sentido, SoS têm sido desenvolvidos e implantados sem a devida avaliação de seus comportamentos, uma vez que as linguagens disponíveis atualmente não dão suporte a uma especificação precisa destes comportamentos. Objetivos: Este projeto de doutorado relata avanços teóricos e práticos fundamentados em uma linguagem de descrição arquitetural formal para permitir a predição e avaliação do comportamento e estrutura dos SoS com base em simulações. Contribuições: As principais contribuições deste projeto envolvem (i) uma transformação de modelos para produzir automaticamente modelos de simulação para descrições de arquitetura de software de SoS, combinando estrutura e comportamento em uma mesma solução, (ii) um método de avaliação de arquitetura de software de SoS para prever o comportamento do SoS considerando sua dinâmica inerente, (iii) modelagem do ambiente e derivação automática de geradores de estímulos entregando dados continuamente e sustentando a execução de simulações de SoS, e (iv) um método para promover a sincronização automática entre modelos descritivos e prescritivos de arquitetura de software de SoS baseados em mecanismos de descoberta e recuperação de modelos, e transformação de modelos reversa. Avaliação: Estudos de caso foram conduzidos para avaliar as soluções nos domínios de Monitoramento de Enchentes e Espacial. Resultados: As abordagens propostas exibem alta acurácia no que tange (i) a produzir simulações operacionais e sem falhas para arquiteturas de software de SoS, (ii) ao suporte á avaliação, ainda em tempo de projeto, do comportamento que emerge da operação do SoS, (iii) à derivação automática de geradores de estímulos para entrega contínua de dados e manutenção da execução das simulações geradas, e (iv) à manutenção do alinhamento entre os modelos descritivos e prescritivos da arquitetura do SoS avaliado. Conclusões: Conclui-se que as abordagens propostas avançam o estado da arte no projeto de arquiteturas de Software de SoS ao permitir prever, em tempo de projeto, como o SoS vai operar em tempo de execução, permitindo estabelecer estratégias para manter a simulação rodando, e sua operação contínua, mesmo com as mudanças arquiteturais inerentes ao seu funcionamento, provendo mais confiabilidade para os usuários futuramente dependerão de seus serviços.

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Veeramani, Lekamani Sarangi. "Model Based Systems Engineering Approach to Autonomous Driving : Application of SysML for trajectory planning of autonomous vehicle." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254891.

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Model Based Systems Engineering (MBSE) approach aims at implementing various processes of Systems Engineering (SE) through diagrams that provide different perspectives of the same underlying system. This approach provides a basis that helps develop a complex system in a systematic manner. Thus, this thesis aims at deriving a system model through this approach for the purpose of autonomous driving, specifically focusing on developing the subsystem responsible for generating a feasible trajectory for a miniature vehicle, called AutoCar, to enable it to move towards a goal. The report provides a background on MBSE and System Modeling Language (SysML) which is used for modelling the system. With this background, an MBSE framework for AutoCar is derived and the overall system design is explained. This report further explains the concepts involved in autonomous trajectory planning followed by an introduction to Robot Operating System (ROS) and its application for trajectory planning of the system. The report concludes with a detailed analysis on the benefits of using this approach for developing a system. It also identifies the shortcomings of applying MBSE to system development. The report closes with a mention on how the given project can be further carried forward to be able to realize it on a physical system.
Modellbaserade systemteknikens (MBSE) inriktning syftar till att implementera de olika processerna i systemteknik (SE) genom diagram som ger olika perspektiv på samma underliggande system. Detta tillvägagångssätt ger en grund som hjälper till att utveckla ett komplext system på ett systematiskt sätt. Sålunda syftar denna avhandling att härleda en systemmodell genom detta tillvägagångssätt för autonom körning, med särskild inriktning på att utveckla delsystemet som är ansvarigt för att generera en genomförbar ban för en miniatyrbil, som kallas AutoCar, för att göra det möjligt att nå målet. Rapporten ger en bakgrund till MBSE and Systemmodelleringsspråk (SysML) som används för modellering av systemet. Med denna bakgrund, MBSE ramverket för AutoCar är härledt och den övergripande systemdesignen förklaras. I denna rapport förklaras vidare begreppen autonom banplanering följd av en introduktion till Robot Operating System (ROS) och dess tillämpning för systemplanering av systemet. Rapporten avslutas med en detaljerad analys av fördelarna med att använda detta tillvägagångssätt för att utveckla ett system. Det identifierar också bristerna för att tillämpa MBSE på systemutveckling. Rapporten stänger med en omtale om hur det givna projektet kan vidarebefordras för att kunna realisera det på ett fysiskt system.

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Madden, Ryan J. "Identification of Unmodeled Dynamics in Rotor Systems Using Mu-Synthesis Approach." Cleveland State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=csu1294695084.

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18

Sen, Oishik. "Multiscale modeling of multimaterial systems using a Kriging based approach." Diss., University of Iowa, 2016. https://ir.uiowa.edu/etd/2274.

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The present work presents a framework for multiscale modeling of multimaterial flows using surrogate modeling techniques in the particular context of shocks interacting with clusters of particles. The work builds a framework for bridging scales in shock-particle interaction by using ensembles of resolved mesoscale computations of shocked particle laden flows. The information from mesoscale models is “lifted” by constructing metamodels of the closure terms - the thesis analyzes several issues pertaining to surrogate-based multiscale modeling frameworks. First, to create surrogate models, the effectiveness of several metamodeling techniques, viz. the Polynomial Stochastic Collocation method, Adaptive Stochastic Collocation method, a Radial Basis Function Neural Network, a Kriging Method and a Dynamic Kriging Method is evaluated. The rate of convergence of the error when used to reconstruct hypersurfaces of known functions is studied. For sufficiently large number of training points, Stochastic Collocation methods generally converge faster than the other metamodeling techniques, while the DKG method converges faster when the number of input points is less than 100 in a two-dimensional parameter space. Because the input points correspond to computationally expensive micro/meso-scale computations, the DKG is favored for bridging scales in a multi-scale solver. After this, closure laws for drag are constructed in the form of surrogate models derived from real-time resolved mesoscale computations of shock-particle interactions. The mesoscale computations are performed to calculate the drag force on a cluster of particles for different values of Mach Number and particle volume fraction. Two Kriging-based methods, viz. the Dynamic Kriging Method (DKG) and the Modified Bayesian Kriging Method (MBKG) are evaluated for their ability to construct surrogate models with sparse data; i.e. using the least number of mesoscale simulations. It is shown that unlike the DKG method, the MBKG method converges monotonically even with noisy input data and is therefore more suitable for surrogate model construction from numerical experiments. In macroscale models for shock-particle interactions, Subgrid Particle Reynolds’ Stress Equivalent (SPARSE) terms arise because of velocity fluctuations due to fluid-particle interaction in the subgrid/meso scales. Mesoscale computations are performed to calculate the SPARSE terms and the kinetic energy of the fluctuations for different values of Mach Number and particle volume fraction. Closure laws for SPARSE terms are constructed using the MBKG method. It is found that the directions normal and parallel to those of shock propagation are the principal directions of the SPARSE tensor. It is also found that the kinetic energy of the fluctuations is independent of the particle volume fraction and is 12-15% of the incoming shock kinetic energy for higher Mach Numbers. Finally, the thesis addresses the cost of performing large ensembles of resolved mesoscale computations for constructing surrogates. Variable fidelity techniques are used to construct an initial surrogate from ensembles of coarse-grid, relative inexpensive computations, while the use of resolved high-fidelity simulations is limited to the correction of initial surrogate. Different variable-fidelity techniques, viz the Space Mapping Method, RBFs and the MBKG methods are evaluated based on their ability to correct the initial surrogate. It is found that the MBKG method uses the least number of resolved mesoscale computations to correct the low-fidelity metamodel. Instead of using 56 high-fidelity computations for obtaining a surrogate, the MBKG method constructs surrogates from only 15 resolved computations, resulting in drastic reduction of computational cost.

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Hak, Jean-Luc. "Engineering annotations for supporting the design process of interactive systems : a model based approach and a tool suite." Thesis, Toulouse 3, 2019. http://www.theses.fr/2019TOU30062.

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Au cours d'un processus de développement de système interactifs, différents acteurs collaborent lors des activités de ce processus et plusieurs choix de conceptions sont effectués afin de converger vers une solution répondant à la fois aux besoins des utilisateurs et aux exigences. Pour atteindre cette solution, de nombreux artefacts sont produits, utilisés et révisés par les différents intervenants du processus. Afin de communiquer sur des points particuliers d'un artefact, collaborer dans son élaboration ou tout simplement rajouter des informations complémentaires, des annotations peuvent être créés sur ces artefacts. En fonction des annotations et de leurs contenus, certains artefacts peuvent par la suite être amenés à évoluer, reflétant ainsi l'influence des annotations sur ces artefacts et donc leurs influences sur le projet de manière globale. Il est donc possible de considérer les annotations comme un outil versatile jouant un rôle non négligeable dans le processus de conception. Néanmoins, plusieurs problèmes peuvent être identifiés concernant l'intégration des annotations au sein des activités d'un processus de conception de système interactifs. Premièrement, le rôle des annotations n'est pas clairement défini dans les différents processus de conceptions. En effet, bien qu'on observe l'usage omniprésent des annotations lors de la conception de systèmes interactif, les processus de conception actuels n'expliquent pas comment les relier aux tâches à accomplir et les artefacts à produire. Deuxièmement, une annotation peut concerner plusieurs artefacts car chacun modélise des points de vue complémentaires du système interactif. Néanmoins, la multiplicité des types d'artefacts et des outils pour la création de ces artefacts pose un problème car chaque outil qui offre la possibilité de créer des annotations propose son propre modèle d'annotation. Ce modèle est généralement restreint à un type d'artefact donné : celui manipulé par l'outil. Ceci implique que les annotations d'un projet sont éparpillées par lot et que chaque lot d'annotations est fermé à un seul type d'artefact. Cette thèse s'appuie sur une analyse des annotations et des pratiques liées aux annotations ainsi que sur la recommandation "Web Annotation Data Model" du W3C pour proposer un modèle d'annotation et une architecture logicielle permettant de centraliser les annotations d'un projet et d'intégrer ces annotations dans divers types d'outils et d'artefacts. Ce modèle d'annotation et cette architecture logicielle a été appliquée dans trois études de cas différents afin d'explorer différentes intégrations possibles au sein d'un processus de conception. La première étude de cas démontre l'intégration et la personnalisation d'annotations au sein d'un outil de prototypage. La seconde étude de cas s'attarde sur la présentation d'un outil permettant de consulter dans une vue unique l'ensemble des annotations créés sur différents artefacts et sur les différents modèles d'un projet. La troisième étude de cas illustre une intégration des annotations dans un environnement industriel comprenant des outils et un processus de conception existant. Ainsi, ces contributions autour des annotations servent de base pour la réalisation de travaux complémentaires tels que l'utilisation d'annotations pour structurer et connecter les différents modèles d'un système interactif, l'utilisation d'annotations en tant que ressource pour les processus de prises de décisions, et l'utilisation d'annotations pour étudier la traçabilité de l'évolution d'un système interactif. En effet, en reliant les artefacts entre eux en utilisant les annotations et en justifiant les choix de conceptions avec des annotations, il serait possible d'assurer la traçabilité des différents choix de design effectués au cours d'un projet ainsi que la traçabilité de l'impact de ces différents choix sur les artefacts
During the development process of an interactive system, different actors collaborate in the activities of this process and several design choices are made to converge to a solution that meets both user needs and requirements. To achieve this solution, many artifacts are produced, used and reviewed by the various stakeholders of the process. In order to communicate on particular points of an artifact, to collaborate in its elaboration or simply to add additional information, annotations can be created on these artifacts. Depending on the annotations and their contents, some artefacts may subsequently evolve, thus reflecting the influence of annotations on these artifacts and therefore reflecting their influence on the project. Thus, it is possible to consider annotations as a versatile tool playing a significant role in the design process. Nevertheless, several issues can be identified regarding the integration of annotations within the activities of the design process of interactive systems. First, the role of annotations is not clearly defined in the different design processes. While there is a widespread and a ubiquitous use of annotations in the design of interactive systems, current design processes do not address how to relate them to the tasks to be performed and the artifacts to be produced. Secondly, an annotation can be related to several artifacts as each models are giving a complementary representation of the interactive system. However, the multiplicity of artifact types and tools for creating these artifacts is a problem since each tool that provide features for annotations implements their own annotation model. These models are usually restricted to one type of artifact: the one handled by the tool. This implies that the annotations produced within a project are scattered by sets and that each these annotation set is closed to a single type of artifact. This PhD thesis is based on an analysis of annotations and their uses as well as on the W3C "Web Annotation Data Model" recommendation to propose an annotation model and an architecture to centralize the annotations of a project. This architecture also allows to include the annotations support on various tools and type of artifacts. This contribution has been applied on three different case studies to explore the possible integrations of annotations within a design process. The first case study demonstrates the integration and customization of annotations within a prototyping tool. The second case study focuses on the presentation of a tool allowing to consult in a single view all the annotations created on different artefacts and on different models of a project. The third case study illustrates an integration of annotations into an industrial environment that includes existing tools and an existing design process. Thus, these contributions around annotations are used as a basis for the realization of complementary works such as the use of annotations to structure and connect the different models of an interactive system, the use of annotations as a resource for the decisions making processes, and the use of annotations to study the traceability of the evolution of an interactive system. Indeed, by linking the artifacts to each other using annotations and justifying the choice of designs with annotations, it would be possible to ensure the traceability of the different design choices made during a project as well as the traceability of the impact of these different choices on the artifacts

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Boonyaprapasorn, Arsit. "FAULT DETECTION AND DIAGNOSIS PROCESS FOR CRACKED ROTOR VIBRATION SYSTEMS USING MODEL-BASED APPROACH." Case Western Reserve University School of Graduate Studies / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1238469531.

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21

Strasunskas, Darijus. "Domain Model-Centric Distributed Development : An approach to semantics-based change impact management." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-683.

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Today’s information systems engineering involves large number of stakeholders, wide geographical distribution and wide range of tools. Success in system engi-neering depends on effective human communication. Early understanding and modelling of the problem domain is a key to manage large scale systems and pro-jects. This requires stakeholders to reach a certain level of shared interpretation of the domain referred throughout the development

We propose a method for semantics driven change impact assessment. In our method, first a collaborative problem analysis is conducted. The problem analysis results in an agreed and committed common understanding of the prob-lem domain, expressed in a conceptual domain model. The constructed concep-tual domain-specific model is then actively used as a communication medium, e.g., to abstract development objects from representation format in order to expli-cate their semantics. Stakeholders browse the domain model and interactively as-sociate to product fragments by selecting concept clusters that best describe the contents (intended meaning) of the product fragments.

Associations of the development objects with concepts from domain model, as well as the domain model itself constitute the basis for change impact assess-ment throughout the development. Every revision of a development object in-vokes change impact notifications that are either confirmed or rejected. Accumu-lated statistics are used to refine associations via the domain model to the direct dependency links among development objects.

The method has been implemented in a prototype system CO2SY and has been evaluated in an experiment, where a set of test users has been provided with a problem domain description including a domain model and a set of develop-ment objects. The experiment was based on two real world cases. Users were asked to perform tasks using the prototype and two comparative tools. The method and prototype have been evaluated with respect to actual performance and users perceptions. The result shows actual effectiveness, perceived ease of use and usefulness comparing to other tools used in the experiment, as well as intention of the subjects to use the method in future.

A discussion of future research directions and possible revisions of the method concludes the thesis.

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Qasim, Lara. "System reconfiguration : A Model based approach; From an ontology to the methodology bridging engineering and operations Model-Based System Reconfiguration: A Descriptive Study of Current Industrial Challenges Towards a reconfiguration framework for systems engineering integrating use phase data An overall Ontology for System Reconfiguration using Model-Based System Engineering An Ontology for System Reconfiguration: Integrated Modular Avionics IMA Case Study A model-based method for System Reconfiguration." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPAST031.

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Les évolutions des systèmes doivent être gérées de manière à garantir l'efficacité et l'efficience du système tout au long de son cycle de vie, en particulier lorsqu'il s'agit de systèmes complexes qui nécessitent des années de développement et des dizaines d'années d'utilisation. La reconfiguration des systèmes est primordiale pour la gestion des systèmes complexes, car elle permet d'assurer la flexibilité et l'adaptabilité des systèmes en ce qui concerne leur évolution. La reconfiguration des systèmes assure l'efficacité opérationnelle et augmente les qualités des systèmes (par exemple, la fiabilité, la disponibilité, la sécurité, etc.).Cette thèse a été effectuée en partenariat avec une entreprise évoluant dans les domaines de l’aérospatial, de l’espace, du transport, de la défense et de la sécurité. Les entreprises portent un intérêt croissant sur la reconfiguration des systèmes afin de garantir leurs efficacités opérationnelles. L’objectif de cette thèse est de proposer une approche basée sur les modèles pour soutenir la reconfiguration de système.En effectuant une étude descriptive, basée sur une étude de terrain et l’analyse de l’état de l’art, le développement d’un support lié à la reconfiguration de système a été identifié comme enjeu industriel majeur. Le défi principal consiste à identifier les données relatives à la reconfiguration des systèmes et leurs mécanismes d’intégration afin d’atteindre cet objectif.Dans cette thèse, nous présentons une ontologie, que nous avons nommé OSysRec, qui intègre les données nécessaires pour la reconfiguration et gestion des systèmes. De plus, OSysRec agrège les trois aspects indispensables à la gestion des process de la reconfiguration de système: la structure, la dynamique, et la gestion.Nous présentons également une méthode basée sur les modèles (MBSysRec) qui intègre les données de reconfiguration et fait le lien entre les phases d’ingénierie et d’opération. Cette méthode est multidisciplinaire qui implique des générations combinatoires de configurations et des décisions multicritères pour leurs évaluations et sélections. Nous avons pu démontrer sur deux cas d’étude la validité de cette méthode pour trouver des solutions performantes et pertinentes.Cette thèse est un premier étape pour la mise en œuvre d’une approche basée sur les modèles pour la reconfiguration de système permettant leur flexibilité et leur adaptabilité
System evolutions have to be managed to ensure system effectiveness and efficiency through its whole lifecycle, particularly when it comes to complex systems that take years of development and dozens of years of usage. System Reconfiguration is key in complex systems management, as it is an enabler of system flexibility and adaptability regarding system evolutions. System reconfiguration ensures operational effectiveness and increases system qualities (e.g., reliability, availability, safety, and usability).This research has been conducted in the context of a large international aerospace, space, ground transportation, defense, and security company. This research aims at supporting system reconfiguration during operations.First, we conducted a descriptive study based on a field study and a literature review to identify the industrial challenges related to system reconfiguration. The main issue lies in the development of reconfiguration support. More specifically, challenges related to data identification and integration were identified.In this thesis, we present the OSysRec ontology, which captures and formalizes the reconfiguration data. The ontology synthesizes the structure, dynamics, and management aspects necessary to support the system reconfiguration process in an overall manner.Furthermore, we present a model-based method (MBSysRec) that integrates system reconfiguration data and bridges both the engineering and the operational phases. MBSysRec is a multidisciplinary method that involves combinatorial configuration generation and a multi-criteria decision-making method for configuration evaluation and selection.This thesis is a step towards a model-based approach for system reconfiguration of evolving systems, ensuring their flexibility and adaptability

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Zornoza, Moreno Enrique. "Model-based approach for automatic generation of IEC-61025 standard compliant fault trees." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-40912.

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Reliability and safety of complex software-intensive systems are proved to be a crucial matter since most of these systems fulfil tasks, where a failure could lead to catastrophic consequences. For example, in space systems such as satellites, a failure could result in the loss of the satellite. Therefore, a certain level of reliability and safety must be assured for such systems to trust the services they provide. Standards set this level and put requirements for the analysis and assurance of these properties using documented evidence. In particular, European Cooperation for Space Standardization (ECSS) standards for space systems require Fault Tree Analysis(FTA) for identifying the causes of system failure and consequently safety hazards, as well as fault trees as evidence for the assurance of reliability and safety. In this thesis, we present a tool supported model-based approach to generate fault tree automatically from an existing system modelling and analysis toolset. CHESS is a system and dependability modelling toolset and integrates Concerto-FLA to enable the support of failure logic analysis. We proposed a model-based transformation from Concerto-FLA to fault tree model and implemented it as an Eclipse plugin in CHESS toolset. A case study is performed in the aerospace domain; more specifically we modelled Attitude Control System (ACS) and automatically generated IEC-61025-compliant fault trees.
AMASS project

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Danancher, Mickaël. "A discrete event approach for model-based location tracking of inhabitants in smart homes." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2013. http://tel.archives-ouvertes.fr/tel-00955543.

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Life expectancy has continuously increased in most countries over the last decades and will probably continue to increase in the future. This leads to new challenges relative to the autonomy and the independence of elderly. The development of Smart Homes is a direction to face these challenges and to enable people to live longer in a safe and comfortable environment. Making a home smart consists in placing sensors, actuators and a controller in the house in order to take into account the behavior of their inhabitants and to act on their environment to improve their safety, health and comfort. Most of these approaches are based on the real-time indoor Location Tracking of the inhabitants. In this thesis, a whole new approach for model-based Location Tracking of an a priori unknown number of inhabitants is proposed. This approach is based on Discrete Event Systems paradigms, theory and tools. The usage of Finite Automata (FA) to model the detectable motion of the inhabitants as well as different methods to create such FA models have been developed. Based on these models, algorithms to perform efficient Location Tracking are defined. Finally, several approaches aiming at evaluating the relevance of the instrumentation of a Smart Home with the objective of Location Tracking are proposed. The approach has also been fully implemented and tested. Throughout the thesis, the different contributions are illustrated on case studies.

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Ponnusamy, Sangeeth saagar. "Simulation product fidelity : a qualitative & quantitative system engineering approach." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30398/document.

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Анотація:

La modélisation informatique et la simulation sont des activités de plus en plus répandues lors de la conception de systèmes complexes et critiques tels que ceux embarqués dans les avions. Une proposition pour la conception et réalisation d'abstractions compatibles avec les objectifs de simulation est présentée basés sur la théorie de l'informatique, le contrôle et le système des concepts d'ingénierie. Il adresse deux problèmes fondamentaux de fidélité dans la simulation, c'est-à-dire, pour une spécification du système et quelques propriétés d'intérêt, comment extraire des abstractions pour définir une architecture de produit de simulation et jusqu'où quel point le comportement du modèle de simulation représente la spécification du système. Une notion générale de cette fidélité de la simulation, tant architecturale et comportementale, est expliquée dans les notions du cadre expérimental et discuté dans le contexte des abstractions de modélisation et des relations d'inclusion. Une approche semi-formelle basée sur l'ontologie pour construire et définir l'architecture de produit de simulation est proposée et démontrée sur une étude d'échelle industrielle. Une approche formelle basée sur le jeu théorique et méthode formelle est proposée pour différentes classes de modèles des systèmes et des simulations avec un développement d'outils de prototype et cas des études. Les problèmes dans la recherche et implémentation de ce cadre de fidélité sont discutées particulièrement dans un contexte industriel
In using Modeling and Simulation for the system Verification & Validation activities, often the difficulty is finding and implementing consistent abstractions to model the system being simulated with respect to the simulation requirements. A proposition for the unified design and implementation of modeling abstractions consistent with the simulation objectives based on the computer science, control and system engineering concepts is presented. It addresses two fundamental problems of fidelity in simulation, namely, for a given system specification and some properties of interest, how to extract modeling abstractions to define a simulation product architecture and how far does the behaviour of the simulation model represents the system specification. A general notion of this simulation fidelity, both architectural and behavioural, in system verification and validation is explained in the established notions of the experimental frame and discussed in the context of modeling abstractions and inclusion relations. A semi-formal ontology based domain model approach to build and define the simulation product architecture is proposed with a real industrial scale study. A formal approach based on game theoretic quantitative system refinement notions is proposed for different class of system and simulation models with a prototype tool development and case studies. Challenges in research and implementation of this formal and semi-formal fidelity framework especially in an industrial context are discussed

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26

Tufan, Emrah. "Developing A Parcel-based Information System By Object-oriented Approach." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1053263/index.pdf.

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The cadastre contains parcel related data which must be up-to-date. The cadastral data in any country constitute a very big dataset. Therefore parcel related data should be carefully managed. Today, using a database is an effective way of data management. The relational database management system can be a good one for parcel related data. However when the information system concept is considered, just relational database management system is not enough. Some tools are needed in order to manipulate the data in the relational database management system. Object oriented analysis and design is a good choice to develop these tools. In this study, a parcel-based information system is developed and it is implemented for Ç
ankaya Municipality. During the development relational database management system is used for attribute data management, and object-oriented analysis and design is used for development of application to manipulate the data in the relational database management system. The cadastral data are separated into two parts and each part is handled separately. The first part is the geographic or spatial data. These data are handled by the help of the MapInfo Professional Version 6.5. The other part is the attributes of these spatial data. For this part, relational database is designed and implemented on Microsoft SQL Server Version 2000. During the development of the relational database, conceptual database design is performed by enhanced entity-relationship (EER) model. Then in the logical design, the conceptual model is mapped into the relational model. After data storage area is created, the application is developed on that data by using principles of object-oriented design and analysis and unified modeling language. By the help of the software developed, the data management can be carried out easily. By this study, a solution is proposed for the cadastral data management problem of the municipalities, and this study is one of the first studies developed for parcel related data using object-oriented approach for municipalities.

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Larsson, Olsson Christoffer, and Erik Svensson. "Early Warning Leakage Detection for Pneumatic Systems on Heavy Duty Vehicles : Evaluating Data Driven and Model Driven Approach." Thesis, KTH, Mekatronik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261207.

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Modern Heavy Duty Vehicles consist of a multitude of components and operate in various conditions. As there is value in goods transported, there is an incentive to avoid unplanned breakdowns. For this, condition based maintenance can be applied.\newline This thesis presents a study comparing the applicability of the data-driven Consensus SelfOrganizing Models (COSMO) method and the model-driven patent series introduced by Fogelstrom, applied on the air processing system for leakage detection on Scania Heavy Duty Vehicles. The comparison of the two methods is done using the Area Under Curve value given by the Receiver Operating Characteristics curves for features in order to reach a verdict.\newline For this purpose, three criteria were investigated. First, the effects of the hyper-parameters were explored to conclude a necessary vehicle fleet size and time period required for COSMO to function. The second experiment regarded whether environmental factors impact the predictability of the method, and finally the effect on the predictability for the case of nonidentical vehicles was determined.\newline The results indicate that the number of representations ought to be at least 60, rather with a larger set of vehicles in the fleet than with a larger window size, and that the vehicles should be close to identical on a component level and be in use in comparable ambient conditions.\newline In cases where the vehicle fleet is heterogeneous, a physical model of each system is preferable as this produces more stable results compared to the COSMO method.
Moderna tunga fordon består av ett stort antal komponenter och används i många olika miljöer. Då värdet för tunga fordon ofta består i hur mycket gods som transporteras uppstår ett incitament till att förebygga oplanerade stopp. Detta görs med fördel med hjälp av tillståndsbaserat underhåll. Denna avhandling undersöker användbarheten av den data-drivna metoden Consensus SelfOrganizing Models (COSMO) kontra en modellbaserad patentserie för att upptäcka läckage på luftsystem i tunga fordon. Metoderna ställs mot varandra med hjälp av Area Under Curve-värdet som kommer från Receiver Operating Characteristics-kurvor från beskrivande signaler. Detta gjordes genom att utvärdera tre kriterier. Dels hur hyperparametrar influerar COSMOmetoden för att avgöra en rimlig storlek på fordonsflottan, dels huruvida omgivningsförhållanden påverkar resultatet och slutligen till vilken grad metoden påverkas av att fordonsflottan inte är identisk. Slutsatsen är att COSMO-metoden med fördel kan användas sålänge antalet representationer överstiger 60 och att fordonen inom flottan är likvärdiga och har använts inom liknande omgivningsförhållanden. Om fordonsflottan är heterogen så föredras en fysisk modell av systemet då detta ger ett mer stabilt resultat jämfört med COSMO-metoden.

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Ayhan, Murat. "A Model-based Guidance And Vulnerability Assessment Approach For Facilities Under The Threat Of Multi-hazard Emergencies." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614534/index.pdf.

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Disasters (e.g. earthquakes) and emergencies (e.g. fire) threaten the safety of occupants in the buildings and cause injuries and mortalities. These harmful effects are even more dangerous when secondary hazards (e.g. post-earthquake fires) emerge and it is commonly observed that the disasters/emergencies trigger secondary hazards.An effective indoor emergency guidance and navigation approach for occupants and first responders can decrease the number of injuries and mortalities during building emergencies by improving the evacuation process and response operations. For this reason, this research will propose a model-based guidance and vulnerability assessment approach for facilities that are under the threat of multi-hazard emergencies. The approach can be used to guide occupants from the facility affected by disasters/emergencies to safer zones and to direct the first responders by supplying them necessary building related information such as identified vulnerable locations in the indoor environments. An integrated utilization of Building Information Modeling tools, sensors, shortest path algorithms, and vulnerability assessment algorithms is proposed for the system in this research. The research steps of this thesis include (1) determination of requirements of an indoor navigation during emergency response and disaster management,(2) review, comparison, and evaluation of shortest path algorithms from an emergency response and disaster management point of view, (3) proposing a vulnerability assessment approach, and (4) proposing a real-time indoor emergency guidance and navigation system framework for buildings under the threat of multi-hazard emergencies. The findings of the research can be used in future studies on emergency response and disaster management domains.

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Ahmed, Tamer. "An adjoint-based approach to computing time-domain sensitivity of multi-port systems described by reduced-order models." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27325.

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The present thrust in the electronics industry towards integrating multiple functions on a single chip while operating at very high frequencies has highlighted the need for efficient Electronic Design Automation (EDA) tools to shorten the design cycle and capture market windows. One of the fundamental tasks performed by modern EDA tools is the sensitivity analysis, which is concerned with computing the derivatives of various circuit performance metrics w.r.t. the circuit designable parameters. However, the increasing complexity of modern circuit design has made simulation and sensitivity analysis a computationally cumbersome task. Furthermore, the presence of non-linearity in virtually all designs in the form of buffers, driving circuitry, and analog blocks necessitates that these tasks be carried out in the time domain. This thesis describes a new algorithm to compute the time-domain sensitivity using the concept of Model-Order Reduction (MOR). The proposed algorithm enables an interconnected set of large linear systems, that have been abstracted by reduced-order models for the purpose of simulation, to have their sensitivity evaluated in the time domain. Therefore, the key advantage of the proposed work stems from the fact that it brings the computational efficiency of MOR in areas of simulation to bear on the problem of sensitivity analysis. The large systems are assumed to be interconnected within a larger network using lumped linear or nonlinear components, and the desired sensitivity is to be evaluated w.r.t. their internal designable parameters. The proposed algorithm can thus be applied in computing the sensitivity of circuits constructed from microwave devices, such as multi-conductor transmission lines, which when discretized produce large linear systems. The proposed technique also employs the concept of adjoint networks in the sensitivity computation. In addition it can also be used to obtain the sensitivity information in the frequency domain.

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Fjellström, William, and Vladislav Snitko. "Disruptive business model transitioning in B2B : A subscription-based approach for Industry 4.0." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-86199.

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Industry 4.0 has introduced technologies such as machine learning, Internet of Things (IoT), and cloud computing, which has disrupted markets across different industries. These technologies are prime examples of what has come to be known as disruptive innovations. With the advancement of disruptive innovations, organizations are constantly looking for new ways to satisfy customer needs. Therefore, organizations have begun to investigate alternative business models that differ from the conventional way of selling products/services. Within B2C-markets, the rise of subscription-based services has not gone unnoticed and has turned into a prominent business model among Fortune-500 organizations. Within B2B-practices however, subscription-based business models are mostly unheard of. Therefore, the purpose of this study was to examine how IndustryInternet of Things (IIoT) solution providers successfully can transition to a subscription-based business model when launching IoT-based disruptive innovations in industry 4.0 B2B-markets. This purpose was investigated in a quantitative study by constructing a questionnaire based on an adjusted six-factor Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. The model was used to stipulate factors influencing buying intention for IoT-technologies. The study was further complemented by qualitative interviews, which aimed to shed more light on buyer's perception of subscription-based business models for IoT-technologies. The respondents consisted of purchasing function employees within the chemical-, food and beverage-, and life sciences industries in Scandinavia and the US. The quantitative results showed that performance expectancy had the most significant impact on buying intention. The qualitative results stipulated themes based on each UTAUT2 factor while also enlightening how interviewees emphasize the importance of not hiding costs and raised concerns regarding the transfer of data ownership when purchasing IoT-technologies. To conclude, the authors stipulated a conceptual framework for the implementation of subscription-based business models when introducing of IoT-technologies within B2B-markets.

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Ezzat, Labib Awad Ahmed. "Enforcing Customization in e-Learning Systems: an ontology and product line-based approach." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/90515.

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Анотація:

In the era of e-Learning, educational materials are considered a crucial point for all the stakeholders. On the one hand, instructors aim at creating learning materials that meet the needs and expectations of learners easily and effec-tively; On the other hand, learners want to acquire knowledge in a way that suits their characteristics and preferences. Consequently, the provision and customization of educational materials to meet the needs of learners is a constant challenge and is currently synonymous with technological devel-opment. Promoting the personalization of learning materials, especially dur-ing their development, will help to produce customized learning materials for specific learners' needs. The main objective of this thesis is to reinforce and strengthen Reuse, Cus-tomization and Ease of Production issues in e-Learning materials during the development process. The thesis deals with the design of a framework based on ontologies and product lines to develop customized Learning Objects (LOs). With this framework, the development of learning materials has the following advantages: (i) large-scale production, (ii) faster development time, (iii) greater (re) use of resources. The proposed framework is the main contribution of this thesis, and is char-acterized by the combination of three models: the Content Model, which addresses important points related to the structure of learning materials, their granularity and levels of aggregation; the Customization Model, which con-siders specific learner characteristics and preferences to customize the learn-ing materials; and the LO Product Line (LOPL) model, which handles the subject of variability and creates matter-them in an easy and flexible way. With these models, instructors can not only develop learning materials, but also reuse and customize them during development. An additional contribution is the Customization Model, which is based on the Learning Style Model (LSM) concept. Based on the study of seven of them, a Global Learning Style Model Ontology (GLSMO) has been con-structed to help instructors with information on the apprentice's characteris-tics and to recommend appropriate LOs for customization. The results of our work have been reflected in the design of an authoring tool for learning materials called LOAT. They have described their require-ments, the elements of their architecture, and some details of their user inter-face. As an example of its use, it includes a case study that shows how its use in the development of some learning components.
En la era del e¿Learning, los materiales educativos se consideran un punto crucial para todos los participantes. Por un lado, los instructores tienen como objetivo crear materiales de aprendizaje que satisfagan las necesidades y ex-pectativas de los alumnos de manera fácil y efectiva; por otro lado, los alumnos quieren adquirir conocimientos de una manera que se adapte a sus características y preferencias. En consecuencia, la provisión y personaliza-ción de materiales educativos para satisfacer las necesidades de los estudian-tes es un desafío constante y es actualmente sinónimo de desarrollo tecnoló-gico. El fomento de la personalización de los materiales de aprendizaje, es-pecialmente durante su desarrollo, ayudará a producir materiales de aprendi-zaje específicos para las necesidades específicas de los alumnos. El objetivo fundamental de esta tesis es reforzar y fortalecer los temas de Reutilización, Personalización y Facilidad de Producción en materiales de e-Learning durante el proceso de desarrollo. La tesis se ocupa del diseño de un marco basado en ontologías y líneas de productos para desarrollar objetos de aprendizaje personalizados. Con este marco, el desarrollo de materiales de aprendizaje tiene las siguientes ventajas: (i) producción a gran escala, (ii) tiempo de desarrollo más rápido, (iii) mayor (re)uso de recursos. El marco propuesto es la principal aportación de esta tesis, y se caracteriza por la combinación de tres modelos: el Modelo de Contenido, que aborda puntos importantes relacionados con la estructura de los materiales de aprendizaje, su granularidad y niveles de agregación, el Modelo de Persona-lización, que considera las características y preferencias específicas del alumno para personalizar los materiales de aprendizaje, y el modelo de Línea de productos LO (LOPL), que maneja el tema de la variabilidad y crea ma-teriales de manera fácil y flexible. Con estos modelos, los instructores no sólo pueden desarrollar materiales de aprendizaje, sino también reutilizarlos y personalizarlos durante el desarrollo. Una contribución adicional es el modelo de personalización, que se basa en el concepto de modelo de estilo de aprendizaje. A partir del estudio de siete de ellos, se ha construido una Ontología de Modelo de Estilo de Aprendiza-je Global para ayudar a los instructores con información sobre las caracterís-ticas del aprendiz y recomendarlos apropiados para personalización. Los resultados de nuestro trabajo se han plasmado en el diseño de una he-rramienta de autor de materiales de aprendizaje llamada LOAT. Se han des-crito sus requisitos, los elementos de su arquitectura, y algunos detalles de su interfaz de usuario. Como ejemplo de su uso, se incluye un caso de estudio que muestra cómo su empleo en el desarrollo de algunos componentes de aprendizaje.
En l'era de l'e¿Learning, els materials educatius es consideren un punt crucial per a tots els participants. D'una banda, els instructors tenen com a objectiu crear materials d'aprenentatge que satisfacen les necessitats i expectatives dels alumnes de manera fàcil i efectiva; d'altra banda, els alumnes volen ad-quirir coneixements d'una manera que s'adapte a les seues característiques i preferències. En conseqüència, la provisio' i personalitzacio' de materials edu-catius per a satisfer les necessitats dels estudiants és un desafiament constant i és actualment sinònim de desenvolupament tecnològic. El foment de la personalitzacio' dels materials d'aprenentatge, especialment durant el seu desenvolupament, ajudarà a produir materials d'aprenentatge específics per a les necessitats concretes dels alumnes. L'objectiu fonamental d'aquesta tesi és reforçar i enfortir els temes de Reutilització, Personalització i Facilitat de Producció en materials d'e-Learning durant el procés de desenvolupament. La tesi s'ocupa del disseny d'un marc basat en ontologies i línia de productes per a desenvolupar objec-tes d'aprenentatge personalitzats. Amb aquest marc, el desenvolupament de materials d'aprenentatge té els següents avantatges: (i) produccio' a gran esca-la, (ii) temps de desenvolupament mes ràpid, (iii) major (re)ús de recursos. El marc proposat és la principal aportacio' d'aquesta tesi, i es caracteritza per la combinacio' de tres models: el Model de Contingut, que aborda punts im-portants relacionats amb l'estructura dels materials d'aprenentatge, la se-ua granularitat i nivells d'agregació, el Model de Línia de Producte, que ges-tiona el tema de la variabilitat i crea materials d'aprenentatge de manera fàcil i flexible. Amb aquests models, els instructors no solament poden desenvolu-par materials d'aprenentatge, sinó que també poden reutilitzar-los i personalit-zar-los durant el desenvolupament. Una contribucio' addicional és el Model de Personalitzacio', que es basa en el concepte de model d'estil d'aprenentatge. A partir de l'estudi de set d'ells, s'ha construït una Ontologia de Model d'Estil d'Aprenentatge Global per a ajudar als instructors amb informacio' sobre les característiques de l'aprenent i recomanar els apropiats per a personalitzacio'. Els resultats del nostre treball s'han plasmat en el disseny d'una eina d'autor de materials d'aprenentatge anomenada LOAT. S'han descrit els seus requi-sits, els elements de la seua arquitectura, i alguns detalls de la seua interfície d'usuari. Com a exemple del seu ús, s'inclou un cas d'estudi que mostra com és el desenvolupament d'alguns components d'aprenentatge.
Ezzat Labib Awad, A. (2017). Enforcing Customization in e-Learning Systems: an ontology and product line-based approach [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/90515
TESIS

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32

Li, Shi. "Hyper-heuristic cooperation based approach for bus driver scheduling." Phd thesis, Université de Technologie de Belfort-Montbeliard, 2013. http://tel.archives-ouvertes.fr/tel-00976554.

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The design of public transport system must take into account different dimensions to solve two main problems of optimization: the vehicles scheduling and driver scheduling. In our work, we focused on bus driver scheduling. Its objective is to minimize the number of drivers in accordance with social and environmental constraints. By its combinatorial nature, bus driver scheduling is considered a complex task in the design process of network transport. We have proposed an approach based on hyper-heuristics whose main advantage lies in their ability to adapt to different problems. We are particularly interested in a cooperative approach, which is able to take into account changes in the resolution process. We have extended the functionality and improved performance of the traditional framework of hyper- heuristics by proposing a pattern based on an organizational model. The proposed algorithm consists of a combination of several phases and several levels. The metaphor of the coalition is used to make cooperate several hyper-heuristics. The coalition is intended to favor diversified solutions and expand search capacity with decentralized control where each hyper-heuristic has certain autonomy. It is thus possible to consider different ways of cooperation between the hyper-heuristics: sharing solutions, learning by mimetism or carrying out different competitive search strategies. The experiment was carried out both on real-world instances and benchmarks. It gave good results on both quality of solution and execution time

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33

FUSARO, ROBERTA. "Comparative analysis of new configurations of aircraft aimed at competitiveness, environmental compatibility and safety." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2694988.

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Анотація:

This Ph.D. Thesis aims at suggesting a proper integrated and multidisciplinary design methodology to improve the current conceptual and preliminary design phases of breakthrough innovative aerospace products. The methodology, based on a Systems Engineering approach, is presented together with an envisaged toolchain, consisting of both commercial and ad-hoc developed software, integrated in a Model-Based Systems Engineering perspective. In addition, for the sake of clarity and for validation purposes, a specific case study has been selected and developed all along the document. The reference case-study is inspired to a real pre-feasibility study in which the research group of Politecnico di Torino, which the author of this Thesis belongs to, has been involved. The project aims at developing a suborbital vehicle able to perform parabolic flights for both scientific and touristic purposes. This kind of initiatives paves the way for the future hypersonic vehicles, because it allows to crucial enabling technologies to be tested and validated in relevant environment but with lower performances’ requirements. The Thesis is articulated in seven Chapters with an introduction and conclusion sections and in each Chapter a balanced mix between theoretical investigation, mathematical model development, tool selection or development and application to the selected case study is guaranteed. This document starts reporting the major reasons why an innovative design methodology should be envisaged to deal with the increasing level of complexity in the aerospace domain. In particular, in the first Chapter, a brief overview of existing or underdevelopment initiatives related to hypersonic is reported, together with the description of the different types of mission in which the new hypersonic vehicles will be exploited. Moreover, the major issues related to the infrastructures required to operate these transportation systems are summarized. As far as operations are concerned, a short section makes the readers aware of the current under-development regulatory framework. Then, the integrated multidisciplinary design methodology is presented starting from the very high level analyses up to the sizing of the different components of the transportation system. All along the document, crucial role is played by requirements, whose management can allow a complete traceability of the different design characteristics during the overall product life-cycle. Furthermore, proper algorithms allowing to move from purely qualitative to quantitative trade-offs, are presented, with a noticeable advantage in terms of traceability and reproducibility. Eventually, further improvements of both the tool-chain and the reference case studies are envisaged for future developments.

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Graciano, Neto Valdemar Vicente. "Une approche dirigée par les simulations à base de modèles pour concevoir les architectures de systèmes-des-systèmes à logiciel prépondérant." Thesis, Lorient, 2018. http://www.theses.fr/2018LORIS489/document.

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Contexte : Les systèmes à logiciels prépondérants sont de plus en plus interopérables formant des alliances nommées « Systèmes-des-Systèmes » (SdS). Les applications des SdS peuvent aller des systèmes de gestion du trafic jusqu’aux systèmes de gestion de crises. Étant donné que les SdS supportent souvent des domaines critiques, ils doivent être fiables en traitant les disfonctionnements ou les défauts et en évitant les défaillances qui pourraient causer des dégâts et pertes importantes aux utilisateurs.Problème : Ajuster les opérations d’un SdS dépend d’une spécification précise et une attestation rigoureuse de sa consistance opérationnelle. Cependant, en plus des limitations des langages pour capturer conjointement la structure et le comportement des SdS, les prédictions de la consistance opérationnelle des SdS reposent sur leurs systèmes constitutifs qui ne sont pas totalement connus au moment de la conception. Par conséquent, les SdS ont été développés et déployés sans évaluation de leurs opérations, puisque les langages actuels ne supportent pas ce type de précision lors de l’évaluation. Objectif : Cette thèse fournit des solutions théoriques et pratiques basées sur un langage formel de description d’architectures pour supporter une évaluation précoce des opérations du SdS par rapport à la structure et le comportement du SdS à travers les simulations. Contributions : Les contributions essentielles de ce projet comprennent (i) une approche de transformation des modèles pour produire automatiquement des modèles de simulation à partir des descriptions des architectures logicielles du SdS, combinant la description structurelle et comportementale du SdS dans la même solution, (ii) une méthode d’évaluation de l’architecture logicielle du SdS pour la prédiction des opérations du SdS tout en considérant les changements inhérents qui peuvent se produire, (iii) la modélisation de l’environnement et la génération automatique des générateurs de stimulus pour soutenir la simulation des SdS, livrant des données pour nourrir tel simulation, et (iv) une méthode pour la synchronisation automatique entre l’architecture descriptive d’exécution (qui change à l’exécution par suite de l’architecture dynamique) et son architecture prescriptive d’origine basée sur des mécanismes de découverte et de récupération de modèles et une transformation de modèle à l'envers.Évaluation : Nous avons conduit des cas d’études pour évaluer nos approches en utilisant le SdS de surveillance des inondations et le SdS d’espace.Résultats : Notre approche montre une précision importante pour (i) produire des simulations des architectures logicielles des SdS sans failles et complètement opérationnelles, (ii) supporte une évaluation et une prédiction fiable des opérations du SdS à la phase de conception, (iii) génère de manière automatique des générateurs de stimuli pour soutenir et nourrir l’exécution de la simulation et (iv) maintien la synchronisation entre les versions descriptives et prescriptives de l’architecture du SdS.Conclusion : Nous avons conclu que les approches proposées font évoluer l’état de l’art de l’évaluation des architectures logicielles des SdS en offrant des solutions pour prédire l’efficacité des opérations du SdS pour maintenir une opération continue malgré les changements architecturaux, fournissant plus de confidence aux utilisateurs qui reposent dans l’avenir sur les services du SdS
Context: Software-intensive systems have been increasingly interoperated forming alliances termed as “Systems-of-Systems” (SoS). SoS comprises a collection of systems joined to achieve a set of missions that none of the systems can individually accomplish. Each constituent system keeps its own management, goals, and resources while coordinating within the SoS and adapting to meet SoS goals. Applications of SoS range from traffic control to emergency response and crisis management. As SoS often support critical domains, such systems must be trustworthy by dealing with malfunction or defects and avoiding failures that could cause extensive damage and losses to the users.Problem: Correct SoS operations depend on a precise specification of the SoS structure and a rigorous attestation of its behaviors. However, besides limitations on languages to jointly capture SoS structure and behavior, predictions on the SoS emergent behaviors rely on constituent systems not totally known at design-time. Therefore, SoS have been developed and deployed without evaluating their operation, since current languages do not support such precision in evaluation.Objectives: This PhD project provides solutions founded on a formal architectural description language to support an early evaluation of SoS behaviors regarding its inherent SoS structure and dynamics through simulations.Contribution: The main contributions of this project comprise (i) a model transformation approach for automatically producing simulation models from SoS software architecture descriptions, combining SoS structure and behavior description in a same solution, (ii) a SoS software architecture evaluation method for SoS operation prediction considering the inherent changes that can occur, (iii) environment modeling and automatic generation of stimuli generators to sustain the SoS simulation, delivering data to feed such simulation, and (iv) a method for the automatic synchronization between the runtime descriptive architecture (changed at runtime due to dynamic architecture) and its original prescriptive architecture based on model discovery and recovery mechanisms and a backward model transformation.Evaluation: We conducted case studies to assess our approaches using Flood Monitoring SoS and Space SoS.Results: Our approaches show a high accuracy to (i) produce fault-free and operational simulations for SoS software architectures, (ii) support a reliable evaluation and prediction of SoS operation at design-time, (iii) automatically generate stimuli generators to sustain and feed the simulation execution, and (iv) maintain the synchronization between descriptive and prescriptive versions of the SoS architecture.Conclusions: We concluded that the proposed approaches advance the state of the art in SoS software architecture evaluation by offering solutions to predict the SoS operations effectiveness to maintain a continuous operation despite architectural changes, providing more trust for users that in the future shall rely on SoS services

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Doherty, Neil F. "Knowledge-based approaches to fault diagnosis. The development, implementation, evaluation and comparison of knowledge-based systems, incorporating deep and shallow knowledge, to aid in the diagnosis of faults in complex hydro-mechanical devices." Thesis, University of Bradford, 1992. http://hdl.handle.net/10454/4374.

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The use of knowledge-based systems to aid in the diagnosis of faults in physical devices has grown considerably since their introduction during the 1970s. The majority of the early knowledge-based systems incorporated shallow knowledge, which sought to define simple cause and effect relationships between a symptom and a fault, that could be encoded as a set of rules. Though such systems enjoyed much success, it was recognised that they suffered from a number of inherent limitations such as inflexibility, inadequate explanation, and difficulties of knowledge elicitation. Many of these limitations can be overcome by developing knowledge-based systems which contain deeper knowledge about the device being diagnosed. Such systems, now generally referred to as model-based systems, have shown much promise, but there has been little evidence to suggest that they have successfully made the transition from the research centre to the workplace. This thesis argues that knowledge-based systems are an appropriate tool for the diagnosis of faults in complex devices, and that both deep and shallow knowledge have their part to play in this process. More specifically this thesis demonstrates how a wide-ranging knowledge-based system for quality assurance, based upon shallow knowledge, can be developed, and implemented. The resultant system, named DIPLOMA, not only diagnoses faults, but additionally provides advice and guidance on the assembly, disassembly, testing, inspection and repair of a highly complex hydro-mechanical device. Additionally it is shown that a highly innovative modelbased system, named MIDAS, can be used to contribute to the provision of diagnostic, explanatory and training facilities for the same hydro-mechanical device. The methods of designing, coding, implementing and evaluating both systems are explored in detail. The successful implementation and evaluation of the DIPLOMA and MIDAS systems has shown that knowledge-based systems are an appropriate tool for the diagnosis of faults in complex hydro-mechanical devices, and that they make a beneficial contribution to the business performance of the host organisation. Furthermore, it has been demonstrated that the most effective and comprehensive knowledge-based approach to fault diagnosis is one which incorporates both deep and shallow knowledge, so that the distinctive advantages of each can be realised in a single application. Finally, the research has provided evidence that the model-based approach to diagnosis is highly flexible, and may, therefore, be an appropriate technique for a wide range of industrial applications.
Science and Engineering Research Council, and Alvey Directorate

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Shi, Zhenzhen. "A MARKOV DECISION PROCESS EMBEDDED WITH PREDICTIVE MODELING: A MODELING APPROACH FROM SYSTEM DYNAMICS MATHEMATICAL MODELS, AGENT-BASED MODELS TO A CLINICAL DECISION MAKING." Diss., Kansas State University, 2015. http://hdl.handle.net/2097/20578.

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Doctor of Philosophy
Department of Industrial & Manufacturing Systems Engineering
David H. Ben-Arieh
Chih-Hang Wu
Patients who suffer from sepsis or septic shock are of great concern in the healthcare system. Recent data indicate that more than 900,000 severe sepsis or septic shock cases developed in the United States with mortality rates between 20% and 80%. In the United States alone, almost $17 billion is spent each year for the treatment of patients with sepsis. Clinical trials of treatments for sepsis have been extensively studied in the last 30 years, but there is no general agreement of the effectiveness of the proposed treatments for sepsis. Therefore, it is necessary to find accurate and effective tools that can help physicians predict the progression of disease in a patient-specific way, and then provide physicians recommendation on the treatment of sepsis to lower risk for patients dying from sepsis. The goal of this research is to develop a risk assessment tool and a risk management tool for sepsis. In order to achieve this goal, two system dynamic mathematical models (SDMMs) are initially developed to predict dynamic patterns of sepsis progression in innate immunity and adaptive immunity. The two SDMMs are able to identify key indicators and key processes of inflammatory responses to an infection, and a sepsis progression. Second, an integrated-mathematical-multi-agent-based model (IMMABM) is developed to capture the stochastic nature embedded in the development of inflammatory responses to a sepsis. Unlike existing agent-based models, this agent-based model is enhanced by incorporating developed SDMMs and extensive experimental data. With the risk assessment tools, a Markov decision process (MDP) is proposed, as a risk management tool, to apply to clinical decision-makings on sepsis. With extensive computational studies, the major contributions of this research are to firstly develop risk assessment tools to identify the risk of sepsis development during the immune system responding to an infection, and secondly propose a decision-making framework to manage the risk of infected individuals dying from sepsis. The methodology and modeling framework used in this dissertation can be expanded to other disease situations and treatment applications, and have a broad impact to the research area related to computational modeling, biology, medical decision-making, and industrial engineering.

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37

Doherty, Neil Francis. "Knowledge-based approaches to fault diagnosis : the development, implementation, evaluation and comparison of knowledge-based systems, incorporating deep and shallow knowledge, to aid in the diagnosis of faults in complex hydro-mechanical devices." Thesis, University of Bradford, 1992. http://hdl.handle.net/10454/4374.

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Анотація:

The use of knowledge-based systems to aid in the diagnosis of faults in physical devices has grown considerably since their introduction during the 1970s. The majority of the early knowledge-based systems incorporated shallow knowledge, which sought to define simple cause and effect relationships between a symptom and a fault, that could be encoded as a set of rules. Though such systems enjoyed much success, it was recognised that they suffered from a number of inherent limitations such as inflexibility, inadequate explanation, and difficulties of knowledge elicitation. Many of these limitations can be overcome by developing knowledge-based systems which contain deeper knowledge about the device being diagnosed. Such systems, now generally referred to as model-based systems, have shown much promise, but there has been little evidence to suggest that they have successfully made the transition from the research centre to the workplace. This thesis argues that knowledge-based systems are an appropriate tool for the diagnosis of faults in complex devices, and that both deep and shallow knowledge have their part to play in this process. More specifically this thesis demonstrates how a wide-ranging knowledge-based system for quality assurance, based upon shallow knowledge, can be developed, and implemented. The resultant system, named DIPLOMA, not only diagnoses faults, but additionally provides advice and guidance on the assembly, disassembly, testing, inspection and repair of a highly complex hydro-mechanical device. Additionally it is shown that a highly innovative modelbased system, named MIDAS, can be used to contribute to the provision of diagnostic, explanatory and training facilities for the same hydro-mechanical device. The methods of designing, coding, implementing and evaluating both systems are explored in detail. The successful implementation and evaluation of the DIPLOMA and MIDAS systems has shown that knowledge-based systems are an appropriate tool for the diagnosis of faults in complex hydro-mechanical devices, and that they make a beneficial contribution to the business performance of the host organisation. Furthermore, it has been demonstrated that the most effective and comprehensive knowledge-based approach to fault diagnosis is one which incorporates both deep and shallow knowledge, so that the distinctive advantages of each can be realised in a single application. Finally, the research has provided evidence that the model-based approach to diagnosis is highly flexible, and may, therefore, be an appropriate technique for a wide range of industrial applications.

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38

Alexandru, Mihai. "Efficient large electromagnetic simulation based on hybrid TLM and modal approach on grid computing and supercomputer." Phd thesis, Institut National Polytechnique de Toulouse - INPT, 2012. http://tel.archives-ouvertes.fr/tel-00797061.

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Dans le contexte des Sciences de l'Information et de la Technologie, un des challenges est de créer des systèmes de plus en plus petits embarquant de plus en plus d'intelligence au niveau matériel et logiciel avec des architectures communicantes de plus en plus complexes. Ceci nécessite des méthodologies robustes de conception afin de réduire le cycle de développement et la phase de prototypage. Ainsi, la conception et l'optimisation de la couche physique de communication est primordiale. La complexité de ces systèmes rend difficile leur optimisation notamment à cause de l'explosion du nombre des paramètres inconnus. Les méthodes et outils développés ces dernières années seront à terme inadéquats pour traiter les problèmes qui nous attendent. Par exemple, la propagation des ondes dans une cabine d'avion à partir des capteurs ou même d'une antenne, vers le poste de pilotage est grandement affectée par la présence de la structure métallique des sièges à l'intérieur de la cabine, voir les passagers. Il faut, donc, absolument prendre en compte cette perturbation pour prédire correctement le bilan de puissance entre l'antenne et un possible récepteur. Ces travaux de recherche portent sur les aspects théoriques et de mise en oeuvre pratique afin de proposer des outils informatiques pour le calcul rigoureux de la réflexion des champs électromagnétiques à l'intérieur de très grandes structures . Ce calcul implique la solution numérique de très grands systèmes inaccessibles par des ressources traditionnelles. La solution sera basée sur une grille de calcul et un supercalculateur. La modélisation électromagnétique des structures surdimensionnées par plusieurs méthodes numériques utilisant des nouvelles ressources informatiques, hardware et software, pour dérouler des calculs performants, représente le but de ce travail. La modélisation numérique est basée sur une approche hybride qui combine la méthode Transmission-Line Matrix (TLM) et l'approche modale. La TLM est appliquée aux volumes homogènes, tandis que l'approche modale est utilisée pour décrire les structures planaires complexes. Afin d'accélérer la simulation, une implémentation parallèle de l'algorithme TLM dans le contexte du paradigme de calcul distribué est proposé. Le sous-domaine de la structure qui est discrétisé avec la TLM est divisé en plusieurs parties appelées tâches, chacune étant calculée en parallèle par des processeurs différents. Pour accomplir le travail, les tâches communiquent entre elles au cours de la simulation par une librairie d'échange de messages. Une extension de l'approche modale avec plusieurs modes différents a été développée par l'augmentation de la complexité des structures planaires. Les résultats démontrent les avantages de la grille de calcul combinée avec l'approche hybride pour résoudre des grandes structures électriques, en faisant correspondre la taille du problème avec le nombre de ressources de calcul utilisées. L'étude met en évidence le rôle du schéma de parallélisation, cluster versus grille, par rapport à la taille du problème et à sa répartition. En outre, un modèle de prédiction a été développé pour déterminer les performances du calcul sur la grille, basé sur une approche hybride qui combine une prédiction issue d'un historique d'expériences avec une prédiction dérivée du profil de l'application. Les valeurs prédites sont en bon accord avec les valeurs mesurées. L'analyse des performances de simulation a permis d'extraire des règles pratiques pour l'estimation des ressources nécessaires pour un problème donné. En utilisant tous ces outils, la propagation du champ électromagnétique à l'intérieur d'une structure surdimensionnée complexe, telle qu'une cabine d'avion, a été effectuée sur la grille et également sur le supercalculateur. Les avantages et les inconvénients des deux environnements sont discutés.

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39

Bougaa, Mohammed. "Une approche basée sur les processus et dirigée par les compétences pour l'éducation en ingenierie des systèmes." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLC050/document.

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Au cours de cette thèse, nous avons examinée les pratiques actuelles en matière d'éducation en IS. Nous avons proposé une approche centrée sur l'utilisation des processus normalisés en IS, tout en faisant en sorte que le scénario d'apprentissage soit très adaptable et qu'il puisse être piloté par les compétences d'IS acquises ou à acquérir. Ensuite, une plateforme Web a été développée pour soutenir cette nouvelle approche d'apprentissage. En utilisant cette approche, les étudiants ne seront pas seulement en mesure de bien concevoir le système demandé de manière distante et collaborative, mais ils seront aussi capables de l'élaborer de manière appropriée. Cela leur permettra d'apprendre les principes et processus fondamentaux de l'IS, à mieux communiquer dans un environement de travail, la gestion d'équipe, la collaboration et les compétences techniques connexes. Les formateurs d'un autre côté pourront mieux gérer leur parcours d'apprentissage, les ressources pédagogiques, et les résultats escomptés. En utilisant cette solution, les organisations de ces formateurs et étudiants, c'est-à-dire les universités et collèges, pourront gérer et normaliser les compétences acquises par leurs futurs ingénieurs systèmes à tous les niveaux
This thesis surveys the current practices and advancements in SE education. We ended up proposing a novel solution for SE education (an approach with its supporting web-based platform). The proposed approach is based on the recommendations of academic and industrial communities. It is centered around the use of SE standardized processes and at the same time very adaptive, with learning scenarios that can be driven by the acquired or to-be-taught SE competencies. The proposed solution is a web based platform that has been developed to support this novel approach within a distant Project Based Learning (PBL) environment. The solution aims to ease the learning at the same time of fundamental principles and processes of systems engineering, along with communication, team management, collaboration, and related soft skills. On the other hand, educators will be able to better manage their learning scenarios, training resources, and the expected outcomes. Last, educators and students' organizations using this solution will be able to manage and normalize the competencies to be acquired by their future systems engineers at every level

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40

Legendre, Anthony. "Ingénierie système et Sûreté de fonctionnement : Méthodologie de synchronisation des modèles d'architecture et d'analyse de risques." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLC083/document.

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L'organisation classique en silos disciplinaires des industries atteint ses limites pour maîtriser la complexité. Les problèmes sont découverts trop tard et le manque de communication entre les experts empêche l'émergence précoce de solutions. C'est pourquoi, il est urgent de fournir de nouvelles approches collaboratives et des moyens d' interactions entre les disciplines d'ingénierie, au début et tout au long du cycle de développement. Dans ce contexte, nous avons étudié l'approche synchronisation de modèles entre deux domaines d'ingénierie : la conception d'architecture de systèmes et la sûreté de fonctionnement. Elle a pour but de construire et maintenir la cohérence entre les modèles.Ces travaux proposent, étudient et analysent une démarche collaborative de synchronisation de modèles. Ils tiennent compte des contextes d’études, des processus, des méthodes appliqués et des points de vue produits par les ingénieurs. Les contributions répondent à des problématiques au niveau des pratiques, des concepts, de la mise en œuvre, des applications et l’implémentation de la synchronisation de modèles
Classical organization in disciplinary silos in the industry reaches its limits to manage and control complexity. Problems are discovered too late and the lack of communication between experts prevents the early emergence of solutions. This is why it is urgent to provide new collaborative approaches and ways to exchange the models contents between various engineering fields, early and all along the development cycle. In this context, we are particularly interested in a synchronization approach of models between two engineering fields: system architecture design and dependability analysis.This work proposes a collaborative approach of synchronization of models. It takes into account the study contexts, applied processes, applied methods and viewpoint produced by engineers. Contributions address issues at levels of practices, concepts, implementation, applications and implementation of model synchronization

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Wu, Di. "Goal-based requirements engineering -- exploring with the "RADIE" approach for ontological elaboration." HKBU Institutional Repository, 2008. http://repository.hkbu.edu.hk/etd_ra/920.

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42

Shin, Hyun-Myung. "Rule-based systems approach to fixture design /." The Ohio State University, 1988. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487597424137913.

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43

Vasquez, Arvallo Agustin. "Condition-based maintenance of actuator systems using a model-based approach /." Full text (PDF) from UMI/Dissertation Abstracts International, 2000. http://wwwlib.umi.com/cr/utexas/fullcit?p3004389.

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44

Wright, Lynda. "Model-Based Systems Engineering: Status and Challenges." Digital Commons at Loyola Marymount University and Loyola Law School, 2014. https://digitalcommons.lmu.edu/etd/438.

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Just as technology drove engineers to develop and implement systems engineering more than 60 years ago, the increasing complexity of today's systems is driving academia and industry to find better methods to design successful solutions. Traditional systems engineering is no longer enough to completely understand and communicate user needs, required system integrations, and design solutions. Model-Based Systems Engineering (MBSE) represents the next generation methodology for system design and verification. MBSE truly allows multi-disciplinary, parallel engineering design to occur. This paper will explore why traditional systems engineering must evolve to MBSE, the current state of MBSE, and the challenges that still need to be overcome before it can be fully instantiated throughout academia and the engineering community as a standard for systems engineering (SE).

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45

Durak, Umut [Verfasser]. "Model-based simulation systems engineering / Umut Durak." Clausthal-Zellerfeld : Technische Universität Clausthal, 2018. http://d-nb.info/1230910069/34.

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46

Koch, Oliver, and Jürgen Weber. "Model-Based Systems Engineering in Mobile Applications." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-200676.

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An efficient system development needs reuse, traceability and understanding. Today, specifications are usually written in text documents. Reuse means a copy and paste of suitable specifications. Traceability is the textual note that references to affected requirements. Achieving a full context understanding requires reading hundreds of pages in a variety of documents. Changing one textual requirement in complex systems can be very time-consuming. Model-based systems engineering (MBSE) addresses these issues. There, an integrated system model is used for the design, analysis, communication and system specification and shall contribute to handling the system complexity. This paper shows aspects of this approach in the development of a wheel loader\'s attachment system. Customer requirements will be used to derive a specification model. Based on this, the author introduces the system and software architecture. The connection between requirement and architecture leads to a traceable system design and produces the huge advantage of MBSE.

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Strasheim, J. A. v. B. "A relation-based approach to engineering management systems /." Link to online version, 2007. http://hdl.handle.net/10019/467.

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Strasheim, Jacobus Alexander van Breda. "A relation-based approach to Engineering Management Systems." Thesis, Stellenbosch : University of Stellenbosch, 2007. http://hdl.handle.net/10019.1/1328.

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Thesis (PhD (Civil Engineering))--University of Stellenbosch, 2007.
The primary goal of this thesis is to indicate how systems theory and engineering process modelling can be applied to provide models for consulting engineering service business enterprises. The typical management systems used for these businesses are investigated to determine the application of systems and process models. The motivation for this study is based on the fact that integrated management systems for consulting engineering practices are presently based on selective business analysis and process modelling that has evolved over time, as reported in a survey and study by Smit [110]. Furthermore, current engineering management systems are simply computer implementations of management procedures based on techniques that were developed to solve problems in the absence of the computational capabilities of the modern computer. To rectify this, a fundamental approach to analyse the business and management functions using systems theory and engineering process modelling techniques is required, which has not been attempted to date. This study develops and demonstrates the application of fundamental analysis in consulting engineering enterprise management and reviews advantages that can be obtained from using this approach. It is shown that the mathematical Algebra of Relations and associated Graph Theory provide the mathematical basis on which management problems can be treated systematically. Since these fields of mathematics are well developed and very broad, the essential parts of the theories are identified. Thereupon, the application of the very abstract mathematical concepts to two important and typical engineering management problems are developed, which represents the core contribution of the dissertation. The study is developed and presented in two parts and an addendum: 1. The first part provides an overview of the necessary mathematical theory required to support development of business models. 2. Management systems theory and relation- and graph theory-based engineering process modelling techniques are applied in this part to build generic enterprise models and data processing models. These models provide inputs for the management processes of professional service business enterprises. The outcome of the modelling and analysis is a set of database models with reporting functionality, to be used in the management process. A demonstration of technology available for development of the models and techniques, described in the previous part, is undertaken in this part. Generic implementations of database models and reporting techniques for systems which deal with management data in a consulting engineering business are developed, described and demonstrated. 3. In the addendum to the study, typical models and system functionality needed to support the management functions of the consulting engineering service business are identified. These management functions include: • Business strategy and long term planning • Marketing and promotion • Finance, including bookkeeping and auditing • Personnel • Facilities management and document management • Logistics, i.e., management of resources required for the business to operate • Knowledge management • Production management, i.e., management of the execution of project work • Administration • Risk management Production management can use the engineering process model approach, modelling the management of tasks, persons, datasets and tools as these are applied to the consulting engineering business. Sample subsystems to support selected management functions are identified and analysed. The integration of these systems with commercially available systems to support accounting and management reporting can follow from this analysis. The study contributes to the body of knowledge in the field of engineering management by providing insights into the application of a specific branch of mathematics to provide fundamental solutions to engineering management problems. It also shows how these solutions are mapped to the computer, and describes available information techniques and technology to support the mapping. The outcome is a document setting out the theory required to develop robust enterprise management systems, the development and demonstration of technology required to do this and, as an addendum, a high level specification of business and management system functionality required for the professional engineering service business.

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Rosin, P. "Model driven image understanding : A frame-based approach." Thesis, City University London, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382816.

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50

Lunde, Rüdiger [Verfasser]. "Towards Model-Based Engineering: A Constraint-Based Approach / Rüdiger Lunde." Aachen : Shaker, 2006. http://d-nb.info/1170535844/34.

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Дисертації з теми "Model Based Systems Engineering Approach"

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