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Academic literature on the topic 'MBSE approach'

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Published: 7 July 2024

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Journal articles on the topic "MBSE approach":

1

Bouaicha, Mohammed, Imad El Adraoui, Hassan Gziri, Nadia Machkour, and Mourad Zegrari. "Operational Analysis Based on the MBSE Grid for the Implementation of Hydroelectric Group Health Monitoring and Management Unit." International Journal of Emerging Technology and Advanced Engineering 11, no. 12 (December 25, 2021): 136–50. http://dx.doi.org/10.46338/ijetae1221_15.

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Any study or project within the framework of system design has chosen to start the modeling phase with the model-based systems engineering approach (MBSE), it will encounter decision-making difficulties of the approach. to adopt. During the last two decades, many MBSE methodologies have been developed, but the majority of them present an incomplete or abstract architectural framework for organizing the modeling work. The MBSE Grid based Systems Modeling Language (SysML) approach has made the modeling task easier for system engineers. Indeed, SysML constitutes a powerful tool, using its diagrams, to model the points of view according to the principle of development of requirement, behavior or structure of the system. This paper summarizes the MBSE methodologies most used in research work and development projects. In the context of our study, the MBSE Grid approach is adopted with slight modifications concerning the names of the domains of the grid. By combining with Bombardier Transport SysMM's MBSE methodology, which consists of three main phases, the proposed MBSE grid presents a modeling approach by analysis: operational, functional and technical of the system. The purpose of this work is to conduct an operational analysis, for the implementation of a Health Monitoring and Management Unit (HMMU) of a hydropower group. Keywords—MBSE, MBSE Grid, Operational Analysis, SysML Hydroelectric group
2

Husung, Stephan, Christian Weber, Atif Mahboob, and Sven Kleiner. "USING MODEL-BASED SYSTEMS ENGINEERING FOR NEED-BASED AND CONSISTENT SUPPORT OF THE DESIGN PROCESS." Proceedings of the Design Society 1 (July 27, 2021): 3369–78. http://dx.doi.org/10.1017/pds.2021.598.

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AbstractModel-Based Systems Engineering (MBSE) is an efficient approach to support product development in order to meet today's challenges. The MBSE approach includes methods and, above all, modelling approaches of the technical system with the aim of continuous use in development. The objective of this paper is to use the potential of the MBSE models and to show the added value of such models on the system level when used as a single source. With this objective, this paper presents a three-step approach to systematically identify and apply meaningful modelling approaches within MBSE, based on the needs during the development process. Furthermore, an FMEA example is included in this paper to elaborate the use of MBSE in the system failure analysis.
3

Huss, Moe, Daniel R. Herber, and John M. Borky. "An Agile Model-Based Software Engineering Approach Illustrated through the Development of a Health Technology System." Software 2, no. 2 (April 17, 2023): 234–57. http://dx.doi.org/10.3390/software2020011.

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Model-Based Software Engineering (MBSE) is an architecture-based software development approach. Agile, on the other hand, is a light system development approach that originated in software development. To bring together the benefits of both approaches, this article proposes an integrated Agile MBSE approach that adopts a specific instance of the Agile approach (i.e., Scrum) in combination with a specific instance of an MBSE approach (i.e., Model-Based System Architecture Process—“MBSAP”) to create an Agile MBSE approach called the integrated Scrum Model-Based System Architecture Process (sMBSAP). The proposed approach was validated through a pilot study that developed a health technology system over one year, successfully producing the desired software product. This work focuses on determining whether the proposed sMBSAP approach can deliver the desired Product Increments with the support of an MBSE process. The interaction of the Product Development Team with the MBSE tool, the generation of the system model, and the delivery of the Product Increments were observed. The preliminary results showed that the proposed approach contributed to achieving the desired system development outcomes and, at the same time, generated complete system architecture artifacts that would not have been developed if Agile had been used alone. Therefore, the main contribution of this research lies in introducing a practical and operational method for merging Agile and MBSE. In parallel, the results suggest that sMBSAP is a middle ground that is more aligned with federal and state regulations, as it addresses the technical debt concerns. Future work will analyze the results of a quasi-experiment on this approach focused on measuring system development performance through common metrics.
4

Yildirim, Unal, Felician Campean, Aleksandr Korsunovs, and Aleksandr Doikin. "FLOW HEURISTICS FOR FUNCTIONAL MODELLING IN MODEL-BASED SYSTEMS ENGINEERING." Proceedings of the Design Society 3 (June 19, 2023): 1895–904. http://dx.doi.org/10.1017/pds.2023.190.

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AbstractModel-Based Systems Engineering (MBSE) is increasingly used across industries for the integrated modelling of complex systems to support model-based development and provide enhanced traceability between requirements and verification and validation of the system. This paper seeks to strengthen the function modelling methodology in MBSE by introducing an approach based on flow heuristics guided by the System State Flow Diagram schema. This provides function representations with an enhanced integrity in MBSE facilitating the solution-agnostic architecture modelling, and supports integrated simulation and function failure reasoning based on MBSE. The approach is illustrated with a case study of an electric bicycle implemented in the MathWorks System Composer environment.
5

Habermehl, Christian, Gregor Höpfner, Jörg Berroth, Stephan Neumann, and Georg Jacobs. "Optimization Workflows for Linking Model-Based Systems Engineering (MBSE) and Multidisciplinary Analysis and Optimization (MDAO)." Applied Sciences 12, no. 11 (May 24, 2022): 5316. http://dx.doi.org/10.3390/app12115316.

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Developing modern products involves numerous domains (controlling, production, engineering, etc.) and disciplines (mechanics, electronics, software, etc.). The products have become increasingly complex while their time to market has decreased. These challenges can be overcome by Model-Based Systems Engineering (MBSE), where all development data (requirements, architecture, etc.) is stored and linked in a system model. In an MBSE system model, product requirements at the system level can lead to numerous technical variants with conflicting objectives at the parameter level. To determine the best technical variants or tradeoffs, Multidisciplinary Analysis and Optimization (MDAO) is already being used today. Linking MBSE and MDAO allows for mutually beneficial synergies to be expected that have not yet been fully exploited. In this paper, a new approach to link MBSE and MDAO is proposed. The novelty compared to existing approaches is the reuse of existing MBSE system model data. Models developed during upstream design and test activities already linked to the MBSE system model were integrated into an MDAO problem. Benefits are reduced initial and reconfiguration efforts and the resolution of the MDAO black-box behavior. For the first time, the MDAO problem was modeled as a workflow using activity diagrams in the MBSE system model. For a given system architecture, this workflow finds the design variable values that allow for the best tradeoff of objectives. The structure and behavior of the workflow were formally described in the MBSE system model with SysML. The presented approach for linking MBSE and MDAO is demonstrated using an example of an electric coolant pump.
6

Pereira Pessoa, Marcus Vinicius, Ana Paula Lopes Schuch, and Juliana Melo Bezerra. "Using model‐based systems engineering to design system‐based digital twins." INCOSE International Symposium 33, no. 1 (July 2023): 1435–49. http://dx.doi.org/10.1002/iis2.13091.

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AbstractAlthough the application of model‐based systems engineering (MBSE) is an alternative for designing digital twins (DTs), MBSE possesses a steep learning curve, and quite often companies struggle to translate its theoretical benefits into their reality. Furthermore, the challenge of determining the DT model's fidelity, which brings balance between simulation accuracy and development costs, increases the modelling task difficulty. This paper presents the initial results from the research into facilitating the design of a system‐based DT, where various models are combined to obtain the desired representation of reality. The main contribution of this paper is towards MBSE practice, where a simplified eight‐step MBSE modelling approach for system‐based DTs is proposed. The modelling approach begins with the existing physical product and the need for a DT and results in a simulation model that constitutes the core of an actionable virtual twin. To shorten the MBSE learning curve, a set of guidelines is proposed to delimitate the Systems Modelling Language (SysML) use in Eclipse Papyrus, and a Python parser was built to convert the SysML models' information into the simulation model. The approach, guidelines and parser are analysed via an application example. In this example, the model's creation, validation and use are illustrated. The initial results indicate that the approach and modelling guidelines provide the necessary scaffolding for simplifying and facilitating MBSE application and SysML use in the design of system‐based DTs.
7

Madni, Azad, and Shatad Purohit. "Economic Analysis of Model-Based Systems Engineering." Systems 7, no. 1 (February 20, 2019): 12. http://dx.doi.org/10.3390/systems7010012.

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In the face of ever-increasing complexity of systems and system development programs, several aerospace, automotive, and defense organizations have already begun or are contemplating the transition to model-based systems engineering (MBSE). The key challenges that organizations face in making this decision are determining whether it is technically feasible and financially beneficial in the long-run to transition to MBSE, and whether such transition is achievable given budgetary constraints. Among other cost drivers of this transition, are a new digital infrastructure, personnel training in MBSE, and cost-effective migration of legacy models and data into the new infrastructure. The ability to quantify gains from MBSE investment is critical to making the decision to commit to MBSE implementation. This paper proposes a methodological framework for analyzing investments and potential gains associated with MBSE implementation on large-scale system programs. To this end, the MBSE implementation problem is characterized in terms of: system complexity, environment complexity and regulatory constraints, and system lifespan. These criteria are applied to systems in twelve major industry sectors to determine MBSE investment and expected gains. Results from this cost-benefit analysis are used to justify investment in MBSE implementation where warranted. This approach is generic and can be applied to different sectors for economic evaluation of costs and benefits and justification of transition to MBSE if warranted.
8

Buczacki, Aleksander. "An integrative Model Based Systems Engineering (MBSE) and lean-based approach for development of new complex products." Multidisciplinary Aspects of Production Engineering 2, no. 1 (September 1, 2019): 425–34. http://dx.doi.org/10.2478/mape-2019-0043.

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Abstract An effective and efficient New Product Development (NPD) and implementation process is crucial for creation of competitive advantage for each company. Due to this fact, companies are more and more often looking for methods and tools for improvement of NPD processes. The paper deals with an integrated Model Based Systems Engineering (MBSE) and lean approach to NPD. The individual stages of the NPD process are predisposed to different degrees to the use of MBSE and Lean. The research conducted shows that the use of advanced MBSE and lean tools and techniques in the development of new products is not widespread. There is a room for future research.
9

Mhenni, Faïda, Ferdinando Vitolo, Andrea Rega, Régis Plateaux, Peter Hehenberger, Stanislao Patalano, and Jean-Yves Choley. "Heterogeneous Models Integration for Safety Critical Mechatronic Systems and Related Digital Twin Definition: Application to a Collaborative Workplace for Aircraft Assembly." Applied Sciences 12, no. 6 (March 9, 2022): 2787. http://dx.doi.org/10.3390/app12062787.

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Nowadays, several manufacturing systems are evolving towards a greater collaboration between human and robots. The development of such systems requires integrated design tasks involving many disciplines and domains such as systems engineering, safety analyses and multi-physics. Furthermore, the increasing presence of multiple and structured requirements makes the use of models inevitable during the designing phases and also strongly helpful during other phases of the system life-cycle. Besides, for a better efficiency, there is an increasing demand to have a Digital Twin of the system to be used for different purposes such as design improvements by playing different scenarios, virtual commissioning and controlling maintenance activities. In this paper, we first summarize the research context, the reference methodologies, and the emerging needs for Digital Twin creation. Then, we apply a design approach including Model-Based Systems Engineering (MBSE), Model-Based Safety Assessment (MBSA) and multi-physics modeling for the design of a collaborative workplace for the assembly of Electro-Mechanical Actuators on an aircraft wing. An operational flow to integrate MBSE, MBSA and multi-physics modelling activities is provided. Then, after having identified some relevant scientific barriers, we provide a meta-model for system models integration within a digital twin framework.
10

Duprez, Jean, Pascal Paper, Amine Fraj, Laurent Royer, and Becky Petteys. "An Approach to Integrated Digital Requirements Engineering." INCOSE International Symposium 33, no. 1 (July 2023): 133–49. http://dx.doi.org/10.1002/iis2.13013.

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AbstractSystems engineering activities in the concept and development phases have evolved continuously for decades. The deployment of digital thread, digital engineering, MBSE approaches, and modeling and simulation techniques have driven part of this evolution.Despite this trend, requirements are still largely textual and expressed in natural language, and requirements engineering activities are still often document‐based. However, model‐based requirements‐engineering approaches have emerged in recent years and have demonstrated significant benefits, including improved requirements quality, less ambiguity, and early and efficient verification and validation.The goal of this paper is to present the current outcomes and perspectives of setting up an Integrated Digital Requirements Engineering approach as developed within our company. This approach seeks to optimize usability and maximize benefits to support end‐to‐end V&V activities while fully integrating into MBSE workflows.
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Journal articles Dissertations / Theses

Dissertations / Theses on the topic "MBSE approach":

1

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.
2

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
3

Roa, castro Laura. "Management de la complexité organisationnelle des projets en ingénierie systèmes : Mise en place d'une approche socio-technique pour l'amélioration des aspects collaboratifs." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLC023/document.

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Du fait du développement de nouveaux produits (NPD) dans l’industrie, l’organisation devient de plus en plus complexe, ceci est dû notamment à la complexité même des produits. Dans ce contexte, le MBSE (Model Based Systems Engineering) et les approches collaboratives, qui adressent ces complexités, ont été reconnus pour leurs facultés à améliorer le NPD. Une implémentation réussie d’une conception collaborative du type MBSE, doit permettre de gérer ces deux complexités. Cette thèse de doctorat a pour objet l’étude de projets de conception collaborative MBSE au sein des équipes françaises chez des équipementiers automobiles et aéronautiques, afin de mettre en avant l’amélioration du développement des produits. La conception collaborative du type MBSE est assimilable à un système organisationnel complexe, impliquant des vues ou dimensions différentes. Ainsi, l’identification de ces dimensions, leur définition et l’étude de leurs interactions constituent le premier objectif de cette recherche. La compréhension de chacune d’entre elles pour améliorer la collaboration entre les différents membres du projet, est le deuxième objectif.Le troisième et dernier objectif de cette thèse est de proposer des systèmes socio-techniques (STS), assistant la collaboration. Les résultats de cette recherche, fournissent une méthodologie pour manager la complexité organisationnelle dans des projets collaboratifs du type MBSE. Elle est le produit d’une combinaison de quatre méthodes permettant la caractérisation de ses dimensions (processus, acteurs, objets et outils), tout en définissant leurs interactions. Ces méthodes assistent respectivement : 1) La description et l’évaluation de ces projets avec une perspective systémique 2) l’établissement d’une vision partagée du travail 3) l’analyse des coopérations entre les acteurs, et 4) le développement de STS tels quels des environnements collaboratifs et des supports collaboratif de capitalisation. L’implémentation en industrie des méthodes proposées, processus et recommandations, a montré comment la mise en avant de la collaboration dans les projets de design MBSE, permet d’améliorer l’ensemble du développement de produit
The organisational complexity implied by New Product Development (NPD) within the industry, is often induced by the complex nature of the products themselves. In this context, MBSE (Model Based Systems Engineering) and collaborative approaches address those complexities and have been recognised by their contribution to improve the NPD processes. A successful implementation of a collaborative MBSE design would allow to manage both complexities. This PhD thesis describes an investigation on collaborative MBSE design projects within French teams in automotive and aeronautics companies, with the purpose of enhancing them to improve product development. We understand collaborative MBSE design as a complex organisational system which implies different views or dimensions. The identification of those dimensions, their definition and the study of their interactions constitute the first objective of this research. Understanding each dimension in order to improve collaboration between the project members is the second objectivedeuxième objectif.The third and last objective of this research is to propose Socio Technical Systems (STS) supporting this collaboration. The results of the thesis provide a methodology to manage organisational complexity in collaborative MBSE design projects. The methodology is a combination of four methods assisting the characterisation of the MBSE dimensions (people, process, information objects and tools), while defining their interactions. These methods support respectively: 1) The assessment and description of collaborative MBSE design projects from a systemic perspective 2) The establishment of a shared vision of the work 3) The analysis of the cooperation among the actors 4) The development of STS such as collaborative environment and a collaborative capitalisation support. The implementation of the proposed methods, process and guidelines in the industry has shown how the enhancement of collaboration in MBSE design projects can improve the overall product development
4

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
5

Lundkvist, Herman, and Alexander Yngve. "Accelerated Simulation of Modelica Models Using an FPGA-Based Approach." Thesis, Linköpings universitet, Datorteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-145692.

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This thesis presents Monza, a system for accelerating the simulation of modelsof physical systems described by ordinary differential equations, using a generalpurpose computer with a PCIe FPGA expansion card. The system allows bothautomatic generation of an FPGA implementation from a model described in theModelica programming language, and simulation of said system.Monza accomplishes this by using a customizable hardware architecture forthe FPGA, consisting of a variable number of simple processing elements. A cus-tom compiler, also developed in this thesis, tailors and programs the architectureto run a specific model of a physical system.Testing was done on two test models, a water tank system and a Weibel-lung,with up to several thousand state variables. The resulting system is several timesfaster for smaller models and somewhat slower for larger models compared to aCPU. The conclusion is that the developed hardware architecture and softwaretoolchain is a feasible way of accelerating model execution, but more work isneeded to ensure faster execution at all times.
6

Roa, castro Laura. "Management de la complexité organisationnelle des projets en ingénierie systèmes : Mise en place d'une approche socio-technique pour l'amélioration des aspects collaboratifs." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLC023.

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Du fait du développement de nouveaux produits (NPD) dans l’industrie, l’organisation devient de plus en plus complexe, ceci est dû notamment à la complexité même des produits. Dans ce contexte, le MBSE (Model Based Systems Engineering) et les approches collaboratives, qui adressent ces complexités, ont été reconnus pour leurs facultés à améliorer le NPD. Une implémentation réussie d’une conception collaborative du type MBSE, doit permettre de gérer ces deux complexités. Cette thèse de doctorat a pour objet l’étude de projets de conception collaborative MBSE au sein des équipes françaises chez des équipementiers automobiles et aéronautiques, afin de mettre en avant l’amélioration du développement des produits. La conception collaborative du type MBSE est assimilable à un système organisationnel complexe, impliquant des vues ou dimensions différentes. Ainsi, l’identification de ces dimensions, leur définition et l’étude de leurs interactions constituent le premier objectif de cette recherche. La compréhension de chacune d’entre elles pour améliorer la collaboration entre les différents membres du projet, est le deuxième objectif.Le troisième et dernier objectif de cette thèse est de proposer des systèmes socio-techniques (STS), assistant la collaboration. Les résultats de cette recherche, fournissent une méthodologie pour manager la complexité organisationnelle dans des projets collaboratifs du type MBSE. Elle est le produit d’une combinaison de quatre méthodes permettant la caractérisation de ses dimensions (processus, acteurs, objets et outils), tout en définissant leurs interactions. Ces méthodes assistent respectivement : 1) La description et l’évaluation de ces projets avec une perspective systémique 2) l’établissement d’une vision partagée du travail 3) l’analyse des coopérations entre les acteurs, et 4) le développement de STS tels quels des environnements collaboratifs et des supports collaboratif de capitalisation. L’implémentation en industrie des méthodes proposées, processus et recommandations, a montré comment la mise en avant de la collaboration dans les projets de design MBSE, permet d’améliorer l’ensemble du développement de produit
The organisational complexity implied by New Product Development (NPD) within the industry, is often induced by the complex nature of the products themselves. In this context, MBSE (Model Based Systems Engineering) and collaborative approaches address those complexities and have been recognised by their contribution to improve the NPD processes. A successful implementation of a collaborative MBSE design would allow to manage both complexities. This PhD thesis describes an investigation on collaborative MBSE design projects within French teams in automotive and aeronautics companies, with the purpose of enhancing them to improve product development. We understand collaborative MBSE design as a complex organisational system which implies different views or dimensions. The identification of those dimensions, their definition and the study of their interactions constitute the first objective of this research. Understanding each dimension in order to improve collaboration between the project members is the second objectivedeuxième objectif.The third and last objective of this research is to propose Socio Technical Systems (STS) supporting this collaboration. The results of the thesis provide a methodology to manage organisational complexity in collaborative MBSE design projects. The methodology is a combination of four methods assisting the characterisation of the MBSE dimensions (people, process, information objects and tools), while defining their interactions. These methods support respectively: 1) The assessment and description of collaborative MBSE design projects from a systemic perspective 2) The establishment of a shared vision of the work 3) The analysis of the cooperation among the actors 4) The development of STS such as collaborative environment and a collaborative capitalisation support. The implementation of the proposed methods, process and guidelines in the industry has shown how the enhancement of collaboration in MBSE design projects can improve the overall product development
7

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
8

Vuillod, Bruno. "Stratégie de modélisation multi-fidélité via une approche système incluant des métamodèles basés sur les entités NURBS." Electronic Thesis or Diss., Paris, HESAM, 2024. http://www.theses.fr/2024HESAE003.

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Plus un problème est complexe, plus la quantité de ressources informatiques nécessaires pour le simuler est importante. D’autre part, le besoin de précision dans les résultats d’un système ne sera pas le même selon sa phase de conception et le domaine étudié. L'objectif de cette thèse est de proposer une stratégie de modélisation multi-fidélité rapide et peu couteuse en ressources de calcul. Pour répondre à ce besoin, une modélisation hybride est développée, couplant approche Model-Based System Engineering (MBSE) et métamodèle basé sur les hypersurfaces Non-Uniform Rational Basis-Spline (NURBS). Plus précisément, l’enjeu scientifique de ce travail est le développement du métamodèle basé sur les entités NURBS pour simuler le comportement de systèmes fortement non-linéaires nécessitant une modélisation haute-fidélité mais capable de fournir les résultats en temps réel pour être compatible avec l’approche MBSE. Dans ce contexte, le métamodèle basé sur les entités NURBS est obtenu comme solution d’un problème d’optimisation résolu avec un algorithme au gradient. En outre, un terme de lissage est intégré dans la formulation du problème pour non seulement réduire l’influence d’éventuelles non-linéarités parasites de la base de données d’entraînement mais également pour limiter le phénomène d’overfitting. L’enjeu technicoscientifique de ce travail est de parvenir à coupler l’approche générale MBSE avec le métamodèle à base de NURBS
The more complex the problem, the greater the amount of computational resources needed to simulate it. On the other hand, the need for accuracy in the results of a system will not be the same depending on its design phase and the domain studied. The goal of this thesis is to propose a fast, low-cost multi-fidelity modeling strategy. To meet this need, a hybrid modeling approach is developed that combines Model-Based System Engineering (MBSE) and a metamodel based on Non-Uniform Rational Basis-Spline (NURBS) hypersurfaces. More specifically, the scientific challenge of this work is to develop a metamodel based on NURBS entities to simulate the behavior of highly nonlinear systems that require high fidelity modeling but are capable of providing results in real time to be compatible with the MBSE approach. In this context, the NURBS entity-based metamodel is obtained as a solution to an optimization problem solved with a gradient algorithm. In addition, a smoothing term is included in the problem formulation, not only to reduce the influence of any spurious nonlinearities in the training database, but also to limit the phenomenon of overfitting. The technical and scientific challenge of this work is to couple the general MBSE approach with the NURBS-based metamodel
9

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
10

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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Books on the topic "MBSE approach":

1

UK Chapter Staff International Council on Systems Engineering, Simon Perry, and Jon Holt. Implementing MBSE into Your Business: The Trinity Approach. Incose UK Limited, 2020.

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Mindfulnessbased Cancer Recovery A Stepbystep Mbsr Approach To Help You Cope With Treatment Reclaim Your Life. New Harbinger Publications, 2011.

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Speca, Michael, Linda Carlson, and Zindel V. Segal. Mindfulness-Based Cancer Recovery: A Step-By-Step MBSR Approach to Help You Cope with Treatment and Reclaim Your Life. New Harbinger Publications, 2011.

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Speca, Michael, Linda Carlson, and Zindel V. Segal. Mindfulness-Based Cancer Recovery: A Step-By-Step MBSR Approach to Help You Cope with Treatment and Reclaim Your Life. New Harbinger Publications, 2011.

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Speca, Michael, and Linda E. Carlson. Mindfulness-Based Cancer Recovery: A Step-By-Step MBSR Approach to Help You Cope with Treatment and Reclaim Your Life. ReadHowYouWant.com, Limited, 2011.

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Braun, Erik. Mindful but Not Religious. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190495794.003.0009.

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This chapter explores Jon Kabat-Zinn’s mindfulness meditation, above all in his writings about his Mindfulness-Based Stress Reduction (MBSR) program. It argues that Kabat-Zinn’s vision conveys a profound sense of enchantment, a deep sense of life’s value. The chapter argues that this vision reworks fundamental conceptual categories, especially those of the secular, the spiritual, and the scientific. Life’s meaning is formulated as flowing naturally from mindful observation of everyday life, especially of painful experiences. This naturalizing approach, drawing on bodily experience, the authority of science, metaphysical religious roots in American culture, and Buddhist teachings, makes mindfulness occupy many registers at once: Buddhist yet ecumenically inclusive, secular yet spiritual, scientific but revealing a larger sense of purpose. This multimodal character of mindfulness, always available through simple awareness, explains its popularity, which is helping to reshape American culture.

Book chapters on the topic "MBSE approach":

1

Schumacher, David. "From Document Centric Approach to MBSE Approach: BPMN, UML, SysML and Wire Framing Implementation." In Complex Systems Design & Management, 234. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04209-7_20.

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Ślączka, Wojciech, Krzysztof Pietrusewicz, and Marcin Marcinek. "Intelligent Container in Water – Land Transport. MBSE Approach for System Design." In Communications in Computer and Information Science, 344–59. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66251-0_28.

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Chen, Zhiying, Yufeng Wang, Yuchen Zhang, and Teng Li. "MBSE Approach to Aero-Engine Turbine System Design and Requirements Management." In Lecture Notes in Electrical Engineering, 1730–44. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3305-7_139.

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Albarello, Nicolas, and Hongman Kim. "Application of an MBSE Approach for the Integration of Multidisciplinary Design Processes." In Complex Systems Design & Management, 85–96. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02812-5_7.

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Zhao, Lingfeng, Lingyun Cheng, Guoxiong Zhan, and Zhen Yao. "Building a Collaborative MBSE Model for Spacecraft Design Based on an Enterprise Architecture Approach." In Lecture Notes in Electrical Engineering, 283–90. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2120-7_35.

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Guo, Yuqiang, Keke Qi, Hui Zhao, Guoding Chen, and Junxian Guo. "An Aeronautical System Parameters Modeling Method Crossing Muti-architecture Levels in the MBSE Approach." In 2023 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2023) Proceedings, 844–50. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4010-9_63.

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Guo, Yuqiang, Xiaohui Ji, Jun Zhao, Hui Zhao, and Junxian Guo. "An Aeronautical System Functional Logic Co-simulation Method Crossing Multi-architecture Levels in the MBSE Approach." In 2023 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2023) Proceedings, 608–16. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4010-9_45.

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Vosgien, Thomas, Eugen Rigger, Martin Schwarz, and Kristina Shea. "A Federated Enterprise Architecture and MBSE Modeling Framework for Integrating Design Automation into a Global PLM Approach." In Product Lifecycle Management and the Industry of the Future, 36–48. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72905-3_4.

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Roumili, Emir, Jean-François Bossu, Vincent Chapurlat, Nicolas Daclin, Robert Plana, and Jérôme Tixier. "Collaborative Safety Requirements Engineering: An Approach for Modelling and Assessment of Nuclear Safety Requirements in MBSE Context." In IFIP Advances in Information and Communication Technology, 227–36. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85969-5_20.

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Kaihara, Toshiya, Nobutada Fujii, Daisuke Kokuryo, and Mizuki Harada. "System Architecture Analysis with Network Index in MBSE Approach -Application to Smart Interactive Service with Digital Health Modeling-." In IFIP Advances in Information and Communication Technology, 307–13. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57997-5_36.

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Conference papers on the topic "MBSE approach":

1

Mazeika, Donatas, Aurelijus Morkevicius, and Aiste Aleksandraviciene. "MBSE driven approach for defining problem domain." In 2016 11th System of Systems Engineering Conference (SoSE). IEEE, 2016. http://dx.doi.org/10.1109/sysose.2016.7542911.

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Fuchs, Joachim. "Multi-disciplinary MBSE Approach in Industrial Phases." In Infotech@Aerospace 2012. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-2532.

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Huang, Zhaofeng, Stuart Swalgen, Heidi Davidz, and Julia Murray. "MBSE-assisted FMEA approach — Challenges and opportunities." In 2017 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2017. http://dx.doi.org/10.1109/ram.2017.7889722.

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Lopez, Viviana, and Aditya Akundi. "Modeling A UAV Surveillance Scenario- An Applied MBSE Approach." In 2023 IEEE International Systems Conference (SysCon). IEEE, 2023. http://dx.doi.org/10.1109/syscon53073.2023.10131074.

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Lopez-Francos, Ignacio G., Seydou Mbaye, and Samantha I. Infeld. "An MBSE Approach for Developing an Autonomous Rover Platform." In AIAA SCITECH 2023 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2023. http://dx.doi.org/10.2514/6.2023-1894.

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Milan, Raphaele, Loic Lagadec, Theotime Bollengier, Lilian Bossuet, and Ciprian Teodorov. "Secured-by-design systems-on-chip: a MBSE Approach." In RSP '23: 34th International Workshop on Rapid System Prototyping. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3625223.3649277.

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Charfi, Asma, Takwa Kochbati, and Chokri Mraidha. "FROM RESEARCH TO PRACTICE: DOES AI PROMOTE OR PREVENT THE USE OF AN MBSE TOOL?" In 8th International Conference on Software Engineering. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131202.

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In this paper, we will investigate the role that can play the AI in adopting a Model Based System-Engineering (MBSE) tool. The MBSE approach is widely adopted in the development of complex systems (real time systems, cyber physical systems, system of systems, etc.) however, in the practice, the tools implementing this approach are facing several problems and are far from being adopted by system provider. We contend that the integration of AI into the appropriate MBSE phase can yield advantageous outcomes. Furthermore, we propose that further exploration into the implementation of AI techniques (such as Machine Learning and NLP) in MBSE tools is necessary to align with the requirements of stakeholders
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Trujillo, Alejandro, Olivier L. De Weck, and Azad M. Madni. "An MBSE Approach Supporting Technical Inheritance and Design Reuse Decisions." In ASCEND 2020. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-4167.

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Strobbe, Charlotte, Sophia Salas Cordero, and Rob Vingerhoeds. "Open-source CubeSat MBSE Approach to Address Traceability: Power Subsystem." In 2023 IEEE International Systems Conference (SysCon). IEEE, 2023. http://dx.doi.org/10.1109/syscon53073.2023.10131054.

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Parrott, Edith L. "A PPE Use Case on Configuration Management Approach for MBSE." In 2023 IEEE Aerospace Conference. IEEE, 2023. http://dx.doi.org/10.1109/aero55745.2023.10116017.

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