Academic literature on the topic 'Approche MBSE'
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Journal articles on the topic "Approche MBSE":
1
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.
Abstract:
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.
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.
Abstract:
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.
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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.
Abstract:
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
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.
Abstract:
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.
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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.
Abstract:
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
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Schöberl, M., E. Rebentisch, J. Trauer, M. Mörtl, and J. Fottner. "EVALUATING MBSE POTENTIAL USING PRODUCT AND DEVELOPMENT CHARACTERISTICS – A STATISTICAL INVESTIGATION." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 2385–94. http://dx.doi.org/10.1017/dsd.2020.277.
Abstract:
AbstractAs model-based systems engineering (MBSE) is evolving, the need for evaluating MBSE approaches grows. Literature shows that there is an untested assertion in the MBSE community that complexity drives the adoption of MBSE. To assess this assertion and support the evaluation of MBSE, a principal component analysis was carried out on eight product and development characteristics using data collected in an MBSE course, resulting in organizational complexity, product complexity and inertia. To conclude, the method developed in this paper enables organisations to evaluate their MBSE adoption potential.
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Boggero, Luca, Adrian Chojnacki, Jasper Bussemaker, Julian Bartels, Dominik Quantius, and Björn Nagel. "The MBSE competence at the German Aerospace Center." INCOSE International Symposium 33, no. 1 (July 2023): 910–24. http://dx.doi.org/10.1002/iis2.13061.
Abstract:
AbstractModel Based Systems Engineering (MBSE) is gaining more and more popularity among different practitioners in academia, research centers and industries, due to all its claimed advantages, e.g. in terms of improved collaboration and communication between system developer teams, increased traceability, and possibility of reusing models. Different MBSE approaches and tools are in use since several years also at the German Aerospace Center (DLR), where research is addressed in multiple domains: aeronautics, space, energy, transport, security and digitalization. However, all the current MBSE initiatives at the DLR are focused within single domains, while an increased interoperability of MBSE approaches and tools across the different DLR domains would greatly improve engineering processes and knowledge of the whole DLR. The research described in this paper therefore addresses the recent activities performed to identity which MSBE approaches and tools are currently in use in the different research domains of the DLR. In this context, a great part of the MBSE competence spread among the entire organization is collected and assessed, showing that DLR is very active in MBSE‐related research performed in different domains.
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Zeller, Marc. "Safety Assurance of Autonomous Systems using Machine Learning: An Industrial Case Study and Lessons Learnt." INCOSE International Symposium 33, no. 1 (July 2023): 320–33. http://dx.doi.org/10.1002/iis2.13024.
Abstract:
AbstractIn order to assess AI/ML‐based autonomous systems in terms of safety, it is not sufficient to assess the system w.r.t. potential failures that could lead to hazards (e.g., as proposed by standards such as IEC 61508, ARP 4761, etc.). Also, functional weaknesses/insufficiencies of the used algorithms according to Safety Of The Intended Functionality (SOTIF) standard ISO 21448 must be considered. In this paper, we present an approach for the safety assessment of systems incorporating AI/ML models using a Model‐based Systems Engineering (MBSE) and a Model‐based Safety Assurance (MBSA) approach. Therefore, we introduce with Component Fault and Deficiency Trees (CFDTs) an extension of the model‐based Component Fault Tree (CFT) methodology. Thereby, we are able to describe cause‐effect relationships between individual failures and functional insufficiencies as well as system hazards and assess if all risks are mitigated. In this paper, we apply our approach to an industrial case study of a self‐driving toy vehicle (the PANORover) and present our lessons learnt.
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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.
Abstract:
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.
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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.
Abstract:
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.
Dissertations / Theses on the topic "Approche MBSE":
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Borchani, Mohamed. "Approche d’ingénierie systèmes pour l’intégration de la fabricabilité dans le processus de conception des systèmes mécatroniques." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLC043/document.
Abstract:
L’originalité de notre travail consiste à développer une approche qui intègre l’ingénierie systèmes basée sur les modèles (MBSE) avec les principes de l’approche SBCE afin de réduire les boucles itératives entre les concepteurs inexpérimentés, les fabricants et les experts. D’autres parties prenantes participent également au développement du produit afin d’assurer environnement d’ingénierie simultanée. Cette approche offre un grand potentiel pour gérer les aspects de fabricabilité et de fiabilité, en raison de la capacité à développer des connaissances en parallèle, en particulier pour les technologies avancées et non matures. L’avantage d’utilisation des principes du SBCE est d’offrir des possibilités de communication entre les parties prenantes au début de la phase de conception. SysML est utilisé comme langage descriptif pour représenter les différentes phases de cette approche. Pour étudier la robustesse ces système, nous avons développé un modèle intitulé «Model Based for Robustness Analysis» (MBRA) qui a pour objectif de filtrer les solutions faibles ou coûteuses au fil du temps et d’assister l’ingénieur système lors de l'adoption d’une étude de compromis. Pour l’étude de la fabricabilité des systèmes complexes, nous avons développé un autre modèle intitulé « Model Based for Manufacturability analysis »The originality of our work is to develop an approach that integrates model-based systems engineering (MBSE) with the principles of the SBCE approach to reduce iterative loops between inexperienced designers, manufacturers, and experts. Other stakeholders are also involved in product development to ensure simultaneous engineering environment. This approach offers great potential for managing manufacturability and reliability aspects, due to the ability to develop parallel knowledge, especially for advanced and non-mature technologies. The advantage of using SBCE principles is to provide opportunities for communication between stakeholders early in the design phase. SysML is used as a descriptive language to represent the different phases of this approach. To study the robustness of these systems, we have developed a model called "Model Based for Robustness Analysis" (MBRA) which aims to filter low or expensive solutions over time and to assist the system engineer when adopting a trade-offs study. For the assessment of the manufacturability of complex systems, we have developed another model entitled "Model Based for Manufacturability analysis"
2
Ammar, Randa. "Approche de co-développement pour l’intégration des modèles des produits mécatroniques avec les modèles des systèmes de production." Thesis, CY Cergy Paris Université, 2020. http://www.theses.fr/2020CYUN1107.
Abstract:
Les produits d'ingénierie à l'ère de l'industrie 4.0 sont contraints d'être plus compacts, intelligents et efficaces. Les entreprises manufacturières sont aujourd'hui obligées d'adapter leurs systèmes de production avec des changements constants et inattendus dans les exigences des clients pour faire face à différents besoins et modes d'utilisation. Par conséquent, les contraintes de production doivent être intégrées dans les premières phases du processus de développement de systèmes complexes multidisciplinaires, et à la fois le produit et la gestion du système de production doivent être optimisés simultanément. Dans cette thèse, nous proposons une approche pour intégrer les contraintes de production au processus de conception du produit. Pour cela, les principes de l'approche Set-Based Concurrent Engineering (SBCE) sont mis en oeuvre en utilisant la méthode MBSE (Model-based System Engineering), afin de réduire les boucles d'échange itératives entre les acteurs de l'ingénierie. L'implémentation a été réalisée avec un prototype de framework logiciel utilisant le langage Python. Une étude de cas d'un boîtier-papillon électronique (ETB) a été utilisée pour illustrer et valider l'approche. L'analyse de l'étude de cas nous a permis de conclure que notre approche aide les concepteurs de systèmes complexes à intégrer les contraintes de production dans le processus de conception dès les phases préliminaires, et à prendre les bonnes décisions de conception pour éviter des investissements lourds liés au système de productionEngineered products in the era of Industry 4.0 are constrained to be more compact, smart and efficient. Manufacturing companies are today forced to adapt their production systems with constant and unexpected changes in the customer requirements to face different needs and user modes. Therefore, production constrains need to be integrated in the early phases of the development process of multidisciplinary complex systems, and both the product and the management of the production system should to be optimized concurrently. In this thesis, we propose an approach to integrate the production system constraints with the product design process. For this, the principles of the Set-Based Concurrent Engineering (SBCE) approach are implemented using the model-based system engineering (MBSE) method, in order to reduce the iterative exchange loops between engineering stakeholders. The implementation was performed in a software framework prototype using Python language. A case study of an Electronic Throttle Body (ETB) was used to illustrate and validate the approach. The analysis of the case study allowed us to conclude that our approach supports system designers to integrate production constraints in the early design process and make the right design decisions to avoid heavy investment in the production system
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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.
Abstract:
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 produitThe 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
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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.
Abstract:
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 produitThe 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
5
Leserf, Patrick. "Optimisation de l’architecture de systèmes embarqués par une approche basée modèle." Thesis, Toulouse, ISAE, 2017. http://www.theses.fr/2017ESAE0008/document.
Abstract:
L’analyse de compromis d’un modèle système a pour but de minimiser ou de maximiser différents objectifs tels que le coût ou les performances. Les méthodes actuelles de type OOSEM avec SysML ou ARCADIA sont basées sur la classification ; il s’agit de définir les différentes variantes de l’architecture d’un système de base puis d’analyser ces variantes. Dans ces approches, les choix d’architecture sont contraints : la plateforme d’exécution et la topologie sont déjà figées. Nous proposons la notion de « points de décision » pour modéliser les différents choix du système, en utilisant de nouveaux stéréotypes. L’avantage est d’avoir une modélisation plus « compacte » des différentes variantes et de piloter l’exploration des variantes en utilisant des contraintes. Lorsque le concepteur définit l’architecture du système, des points de décisions sont insérés dans le modèle du système. Ils permettent de modéliser la redondance ou le choix d’une instance pour un composant, les variations des attributs d’un composant, ou l’allocation des activités sur les blocs. Les fonctions objectifs sont définies dans un contexte d’optimisation à l’aide du diagramme paramétrique de SysML. Nous proposons des transformations du modèle SysML vers un problème de satisfaction de contraintes pour l’optimisation (CSMOP) dont la résolution nous permet d’obtenir l’ensemble des architectures optimales. Cette transformation est implantée dans un démonstrateur (plug-in Eclipse) permettant une utilisation conjointe de l’outil Papyrus et de solveurs, disponibles sous forme de logiciels libres. La méthode est illustrée avec des cas d’étude constitués d’une caméra stéréoscopique puis d’un drone, l’ensemble étant modélisé avec PapyrusFinding the set of optimal architectures is an important challenge for the designer who uses the Model-Based System Engineering (MBSE). Design objectives such as cost, performance are often conflicting. Current methods (OOSEM with SysML or ARCADIA) are focused on the design and the analysis of a particular alternative of the system. In these methods, the topology and the execution platform are frozen before the optimization. To improve the optimization from MBSE, we propose a methodology combining SysML with the concept of “decision point”. An initial SysML model is complemented with “decisions points” to show up the different alternatives for component redundancy, instance selection and allocation. The constraints and objective functions are also added to the initial SysML model, with an optimiza-tion context and parametric diagram. Then a representation of a constraint satisfaction problem for optimization (CSMOP) is generated with an algorithm and solved with an existing solver. A demonstrator implements this transformation in an Eclipse plug-in, combining the Papyrus open-source tool and CSP solvers. Two case studies illustrate the methodology: a stereoscopic camera sensor module and a mission controller for an Unmanned Aerial Vehi-cle (UAV)
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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.
Abstract:
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 NURBSThe 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
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Wu, Quentin. "Capitalisation et réutilisation de savoir-faire dans une approche d’ingénierie système basée sur les modèles : application au système de distribution électrique d’aéronefs." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0112.
Abstract:
L’ « Ingénierie Système Basée sur les Modèles » (ISBM), est une approche d’Ingénierie Système dans laquelle la modélisation est le support de toutes les activités d’ingénierie. Elle est plébiscitée par les industriels comme étant une manière de satisfaire le besoin de prise en compte de la complexité croissante des systèmes, pour lesquels les pratiques d’Ingénierie Systèmes centrées sur les documents arrivent à leurs limites. Cependant, de nombreux retours d’expérience sur la transition vers l’ISBM soulignent la forte courbe d’apprentissage nécessaire à sa mise en œuvre, ainsi que la difficulté pour les ingénieurs de se l’approprier. Dans ce contexte, la contribution de ce manuscrit vise à faciliter l’adoption de l’ISBM par la valorisation des actifs d’ingénierie. Elle cherche à systématiser la capitalisation et la réutilisation de savoir-faire en utilisant le concept de « patron », dont le rôle et le périmètre sont définis dans le cadre de l’ISBM. De manière à accompagner la montée en maturité des processus de capitalisation et de réutilisation au sein d’une entreprise, elle introduit une échelle de maturité permettant d’évaluer une situation d’ingénierie de manière à cibler les efforts à fournir. La contribution porte également sur la formalisation de niveaux d’abstraction des patrons capitalisés et de mécanismes de transition entre ces niveaux d’abstraction. Sur cette base, elle formalise les processus de l’approche « Minage-Maturation-Implémentation de Patrons » (MMIP), dont l’objectif est d’être un guide pour les ingénieurs dans la capitalisation et la réutilisation d’actifs d’ingénierie. La contribution a été éprouvée sur un cas d’étude, dans le cadre d’un nouveau projet industriel au sein de Safran Electrical & Power. L’objectif était de démontrer l’existence de patrons techniques, de les formaliser et de les réutiliser dans un contexte d’ISBMModel Based System Engineering (MBSE) is a System Engineering approach in which modeling is the backbone of all engineering activities. It is widely accepted by the industry as a way to satisfy the need to take into account the ever-increasing complexity of systems, for which document-based Systems Engineering practices are reaching their limits. However, numerous feedbacks on the transition to MBSE highlight the steep learning curve required for its implementation, as well as the difficulty for engineers to master it. In this context, the contribution of this manuscript aims at facilitating the adoption of MBSE through the valorization of engineering assets. It seeks to systematize the capitalization and reuse of know-how by using the concept of "pattern", whose role and scope are defined within the framework of MBSE. In order to increase the maturity of capitalization and reuse processes within a company, a maturity scale is also introduce to assess an engineering situation in order to target the efforts to be made. The contribution also deals with the formalization of levels of abstraction of capitalized patterns and of transition mechanisms between these levels of abstraction. On this basis, it formalizes the “Mining-Maturation-Implementation of Patterns” (MMIP) process, whose objective is to be a guide for engineers in the capitalization and reuse of engineering assets. The contribution has been tested on a case study, within the framework of a new industrial project at Safran Electrical & Power. The objective was to demonstrate the existence of patterns, to formalize them and to reuse them in an MBSE context
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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.
Abstract:
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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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.
Abstract:
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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Baduel, Ronan. "An integrated model-based early validation approach for railway systems." Thesis, Toulouse 2, 2019. http://www.theses.fr/2019TOU20083.
Abstract:
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 comportementSystem 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
Books on the topic "Approche MBSE":
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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.
Abstract:
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 "Approche MBSE":
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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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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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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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Lázaro, Oscar, Jesús Alonso, Roxana-Maria Holom, Katharina Rafetseder, Stefanie Kritzinger, Fernando Ubis, Gerald Fritz, et al. "Model-Based Engineering and Semantic Interoperability for Trusted Digital Twins Big Data Connection Across the Product Lifecycle." In Technologies and Applications for Big Data Value, 399–429. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-78307-5_18.
Abstract:
AbstractWith the rising complexity of modern products and a trend from single products to Systems of Systems (SoS) where the produced system consists of multiple subsystems and the integration of multiple domains is a mandatory step, new approaches for development are demanded. This chapter explores how Model-Based Systems Engineering (MBSE) can benefit from big data technologies to implement smarter engineering processes. The chapter presents the Boost 4.0 Testbed that demonstrates how digital twin continuity and digital thread can be realized from service engineering, production, product performance, to behavior monitoring. The Boost 4.0 testbed demonstrates the technical feasibility of an interconnected operation of digital twin design, ZDM subtractive manufacturing, IoT product monitoring, and spare part 3D printing services. It shows how the IDSA reference model for data sovereignty, blockchain technologies, and FIWARE open-source technology can be jointly used for breaking silos, providing a seamless and controlled exchange of data across digital twins based on open international standards (ProStep, QIF), allowing companies to dramatically improve cost, quality, timeliness, and business results.
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Jorge, Pedro, Yann Bezin, Ilaria Grossoni, and Sergio Neves. "Modelling Track Flexibility in Turnouts Using MBS Approach." In Lecture Notes in Mechanical Engineering, 359–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38077-9_42.
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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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Piet, Jacob, Lone Fjorback, and Saki Santorelli. "What Is Required to Teach Mindfulness Effectively in MBSR and MBCT?" In Mindfulness and Buddhist-Derived Approaches in Mental Health and Addiction, 61–83. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-22255-4_4.
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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.
Conference papers on the topic "Approche MBSE":
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Keith, Cody D., Sayeed Abbas, and Sydney Autry. "Data Driven Risk Analysis and Production Forecast Deration for Matrix Bypass Events in the West Sak Oil Pool, Alaska North Slope." In SPE Western Regional Meeting. SPE, 2023. http://dx.doi.org/10.2118/212950-ms.
Abstract:
Abstract West Sak is a shallow viscous oil reservoir located partially within the Kuparuk River Unit on the North Slope of Alaska. The poorly consolidated reservoir is prone to sand production, leading to a significant risk for the development of void space conduits, locally known as matrix bypass events (MBEs). MBEs result in pattern breakage and lost production capacity, and this needs to be accounted for in production forecasting. In this study, a data-driven analysis is performed to identify factors that cause differential risk for MBE formation in each well. This analysis is then used to inform the creation of a tool that determines the expected production impacts of future MBEs and derates the forecast accordingly. The well patterns and MBE history in the West Sak reservoir are analyzed for differential risk based on sand geomechanics and producer/injector well completions. Specifically, the B sand was found to have the highest MBE risk due to its lower geomechanical strength, the D sand was found to have a significant yet lesser risk, and the A sand was found to have negligible risk. MBE risk is greater for patterns with horizontal production laterals without sand control and is negligible for horizontal producers with sand-exclusion screens or vertical producers. MBE risk is reduced when vertical injectors are used instead of horizontal injection laterals. This history is used to inform the development of MBE risk type curves based on the fatigue life distribution family of curves. These curves are used as input into an MBE deration forecasting tool, which produces a range of risk-informed MBE schedules. Based on each schedule, the tool "breaks" and "repairs" patterns accordingly, determining production losses based on allocation to each pattern. These individual production loss forecasts are then averaged to provide the expected outcome for forecast deration attributed to MBEs. The tool was successful in developing reasonable deration expectations on a well-by-well basis. The work done offers a probabilistic workflow to predict well downtime due to MBEs. Data-driven evidence is provided for factors that influence MBE risking, providing a means to capture expected production losses. This evidence proves to be consistent with physical models of this enigmatic phenomenon and informs future development opportunities to mitigate this risk. The approach pursued here can be applied to other known risks to production.
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Basilio, Leandro Pereira, Priscilla Badega Machado, Débora Calaza de Sousa, Rafael Vinicius de Castro, Diego Russo Juliano, Pauline Santa Rosa Simões Drummond Boeira, and Marcelo Andreotti. "A Model-Based System Metaheuristic Engineering MBSME Approach in the Conceptual Selection of Offshore Production Units." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31308-ms.
Abstract:
Abstract The objective of this paper is to present and discuss the philosophy behind the integration of "Model-Based Systems Engineering" (MBSE) with metaheuristic algorithms, referred to as "Model-Based Systems Metaheuristic Engineering" (MBSME), which has demonstrated high potential of techno-economic optimization of large capital projects in oil and gas industry, notably in the automatic and integrated conceptual design and selection of offshore systems architectures. Virtual modeling has always been an important part of systems engineering to support functional, performance and other engineering analysis. The so-called MBSME allows the simulation of several specific System-of-Systems physically addressed in offshore field development, bringing all the benefits of the traditional MBSE approach, and set a stochastic characteristic in the analysis, allowing the project team to focus on a Model-Centric approach, as well as to quickly understand the influence of several combined project strategies and application of different technologies, communicated through a Tradespace exploration map. Due to the characteristics associated with and the countless number of variables of the multidimensional problem addressed in an offshore field development, the integration of "Meta-Heuristic" algorithms with "Model-Based Systems Engineering" has demonstrated a remarkable efficiency and powerful applicability in the search for optimized design solutions in oil and gas industry, especially considering the processes of generation of conceptual alternatives of offshore production systems. This method leads to a reduction of more than 2/3 of the average time currently observed, with an increase in the number of conceptual alternatives evaluated in the order of tens to an order of thousands of options, in an automatic and integrated approach. Although the digital MBSME already developed addresses the combination of all technical disciplines associated with a complete offshore field development, the current work emphasizes the latest R&D achievements, addressing the automatic design and specification of Topside Facilities architecture, combined with the automatic selection of fitting for purpose Production Unit, based on internal requirements, such as the required capacity to support total weight and footprint imposed by the topside facilities’ modules, as well as external requirements, like water depth, surface metocean, type of well completion and oil storage requirements. An example of the MBSME application is presented, demonstrating a three-dimensional Tradespace exploration, relating Net Present Value (NPV), Capital Expenditure (CAPEX) and Breakeven Oil Price, through the application of a computational package in a hypothetical project, reflecting the design conditions of an offshore development in the Brazilian Pre-Salt region. The paper communicates an efficient method to increase the scope and accuracy of conceptual analyses, leading to the identification of the most favorable techno-economic conditions to the particularities of each project, supporting significant increases of return on investments.
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Rhodes, Donna H., and Adam M. Ross. "Anticipatory capacity: Leveraging model-based approaches to design systems for dynamic futures." In 2009 International Conference on Model-Based Systems Engineering (MBSE). IEEE, 2009. http://dx.doi.org/10.1109/mbse.2009.5031719.
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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.
Abstract:
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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Monteiro, João P., Paulo J. S. Gil, and Rui M. Rocha. "A Taxonomy for Model-Based Systems Engineering." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-69125.
Abstract:
Abstract In this paper, we define Model Based Systems Engineering (MBSE) as a set of different approaches which vary in scope and in purpose, as opposed to defining it as a monolithic concept. To do so, we inductively extract common themes from papers proposing new MBSE methods based on the type of Systems Engineering (SE) artifacts produced and the expected benefits of MBSE implementation. These themes are then validated against the experiences depicted in a second set of papers evaluating the deployment of MBSE methods in practice. We propose a taxonomy for MBSE which identifies three main categories: system specification repositories, system execution models, and design automation models. The proposed categories map well onto common discussions of the nature of the SE activity, in that the first is employed in the management of system development processes and the second in the understanding of system performance and emergent properties. The third category is almost exclusively discussed in an academic context and is therefore more difficult to relate to SE practice, but its features are clearly distinct from the other two. The proposed taxonomy clarifies what MBSE is and what it can be, therefore helping focus research on the issues that still prevent MBSE practice from living up to expectations.
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Kolesnikov, Max. "Effective Application of Model-Based Software Engineering Technology to Automotive Embedded Software." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2049.
Abstract:
<div class="section abstract"><div class="htmlview paragraph">The major driving factors for adoption of model-based software engineering (MBSE) practices are increasing complexity, time-to-market pressures, and certification requirements. Adoption of MBSE technology can add tremendous value to an automotive software development organization, however to realize maximum efficiency it is critically important to scale and customize these practices appropriately. This paper offers a practical, tool vendor-independent framework for application of MBSE technology to automotive embedded software development, based on tendencies and outcomes observed while working with automotive OEMs and Tier 1 suppliers of various sizes. The core of the presented approach is to first define the MBSE technology strategy and then to operationalize the strategy. There are three main elements that constitute the MBSE technology strategy of a software development organization. The first element is technology scope – it defines the balance between MBSE and traditional coding methods. This is rarely a binary decision, and it takes into account not only the application domain, but also the culture of communication between engineering functions internal and external to the organization. The second element is integration paradigm, i.e., whether to integrate software in model or code domain. This is typically driven by balance between effort, performance, and program objectives. The third element is software stack design. Commonly discussed in the web and mobile space, it is sensible to address software stack design specifically as it applies to automotive embedded software. Stack design choices are directly tied to business objectives of an organization, as they frequently (and sometimes implicitly) define critical interfaces, draw ownership boundaries, and inform make vs. buy decisions. Finally, once the MBSE technology strategy is defined, it is operationalized by leveraging traditional software DevOps practices, modified and extended to support MBSE methods in the automotive embedded space.</div></div>
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Chen, Jinwei, Yuanfu Li, Zhenchao Hu, and Huisheng Zhang. "Study on Model-Based Systems Engineering Method for Modeling of Thermal Power System." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23867.
Abstract:
Abstract Thermal power systems, particularly with large capacity and high operating parameters, are more and more complicated nowadays, which include machinery, electronics, electrical, hydraulic, thermal, control, and process-oriented subsystems. The traditional development method based on documents has the problems of difficulty to reuse the designed elements, weak traceability of requirements, and lack of top-level logic verification. Moreover, there is a large gap because different models, tools and terminology are used during design process. The gap results in inefficiencies and quality issues that can be very expensive. In this paper, a model-based systems engineering (MBSE) approach is introduced for the top-down design flow of thermal power systems. The MBSE method can perfected the requirement definition, complete the mapping of the requirements to the system elements, realize the function logic verification, and support requirements verification at all stages. A GOPPRR (graph, object, point, property, role, relationship) meta-modeling method is proposed to support the MBSE formalisms. An Architecture Analysis and Design Integrated Approach (Arcadia) framework is adopted to capture the complex architecture, which is a standardized modeling method including requirement analysis, function analysis, logic analysis, and architecture design. Based on the architecture-driven algorithm and code generation, the standardized modeling process can establish a traceable relationship at each design stage and can verify the availability of initial requirements. Moreover, the designed elements of previous work can be reused in other relative design processes. The proposed MBSE method in this paper is applied to establish a gas turbine performance simulation model. The entire modeling process is enhanced by managing the relative design information consistently. The performance of the design process with MBSE method is analyzed and compared from different aspects. The results show that the performance simulation model of the power system established by the MBSE method can effectively describe the requirements, functions, logic, and architecture during design process. Based on the MBSE method, the requirements of the system are refined, traced and verified.
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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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