The Experts below are selected from a list of 3633 Experts worldwide ranked by ideXlab platform

Dov Dori - One of the best experts on this subject based on the ideXlab platform.

  • Model-Based Systems Engineering for Aircraft Design With Dynamic Landing Constraints Using Object-Process Methodology
    IEEE Access, 2019
    Co-Authors: Linwen Li, Natali Levi Soskin, Moti Karpel, Ahmad Jbara, Dov Dori
    Abstract:

    We present a Model-Based Systems Engineering (MBSE) framework using object-process methodology (OPM, ISO 19450) for civil transport aircraft design with dynamic landing constraints. The framework integrates the aircraft system development life cycle processes into a holistic MBSE model, incorporating into it the specific aircraft dynamic loads Model-Based design (MBD) domain. Using this framework, we also perform Model-Based requirements analysis, validation, and verification. The model parameter set is governed by a unified format used for both the MBSE and MBD domains. The resulting model enables aircraft design processes to start being formalized at the early conceptual design stage and carry on to detailed design, adding value to system lifecycle processes by integrating and streamlining the MBSE and MBD domains into a more holistic framework with seamless transition between these two major stages.

  • Model-Based Systems Engineering with OPM and SysML
    2016
    Co-Authors: Dov Dori
    Abstract:

    Model-Based Systems Engineering (MBSE), which tackles architecting and design of complex Systems through the use of formal models, is emerging as the most critical component of Systems Engineering. This textbook specifies the two leading conceptual modeling languages, OPMthe new ISO 19450, composed primarily by the author of this book, and OMG SysML. It provides essential insights into a domain-independent, discipline-crossing methodology of developing or researching complex Systems of any conceivable kind and size. Combining theory with a host of industrial, biological, and daily life examples, the book explains principles and provides guidelines for architecting complex, multidisciplinary Systems, making it an indispensable resource for Systems architects and designers, engineers of any discipline, executives at all levels, project managers, IT professional, Systems scientists, and Engineering students.

  • Synergistic Model‐Based Systems Engineering with SysML and OPM
    INCOSE International Symposium, 2011
    Co-Authors: Dov Dori
    Abstract:

    Model-Based Systems Engineering (MBSE) is emerging as a pivotal paradigm, placing modeling as the underlying activity of Systems' and products' lifecycle management. SysML is the OMG standard for MBSE, while Object-Process Methodology (OPM), one of the six leading INCOSE MBSE methodologies, is in the process of becoming ISO standard and the basis for Model-Based standards authoring. OPM and SysML complement each other, as each is especially suited for different lifecycle stages: OPM, which is simple and holistic, is most fit for the early conceptual stages, whereas SysML, which provides for expressing details, is good for later design stages. The tutorial introduces the principles, syntax, and semantics of OPM and SysML, highlighting their commonalities and differences, and showing how to use both in ways that promote synergy and improve critical system features, notably clarity, consistency, and completeness. The resulting model is an indispensible blueprint that puts all the stakeholders on the same page across the system lifecycle span.

Eric Levrat - One of the best experts on this subject based on the ideXlab platform.

  • CSDM - A Review of Know-How Reuse with Patterns in Model-Based Systems Engineering
    Complex Systems Design & Management, 2018
    Co-Authors: Quentin Wu, David Gouyon, Eric Levrat, Sophie Boudau
    Abstract:

    The increasing complexity of Systems to be developed requires engineers to review their practices in order to improve the efficiency of Engineering and meet the needs of a competitive market. That is why models supported by formal or semi-formal languages are preferred to avoid the understanding variability of natural languages. In this context, Model-Based Systems Engineering (MBSE) made it possible to change the Engineering paradigm by putting forward a unique, shared system model. To promote its adoption, a solution would be to allow reuse of knowledge and know-how, to encourage engineers seizing and adapting MBSE to their needs. This paper aims to review and evaluate the concept of patterns towards reuse in Engineering, especially in a MBSE approach.

  • TOWARDS MODEL‐BASED Systems Engineering (MBSE) PATTERNS TO EFFICIENTLY REUSE KNOW‐HOW
    Insight, 2017
    Co-Authors: Quentin Wu, David Gouyon, Pascal Hubert, Eric Levrat
    Abstract:

    Know-how reuse is an approach that has been always used by engineers to take advantage of their accumulated knowledge and practices. But, the difficulty to formalize and reuse expert know-how is increasing alongside the complexity of Systems. To deal with this challenge, this paper aims at opening the way to new approaches of know-how reuse, in order to improve Engineering activities. For that purpose, it explores the capabilities of three reuse approaches (commercial off-the-shelf (COTS), set-based design and patterns), and their ability to be linked with a Model-Based Systems Engineering framework.

  • towards model based Systems Engineering mbse patterns to efficiently reuse know how
    Insight, 2017
    Co-Authors: Quentin Wu, David Gouyon, Pascal Hubert, Eric Levrat
    Abstract:

    Know-how reuse is an approach that has been always used by engineers to take advantage of their accumulated knowledge and practices. But, the difficulty to formalize and reuse expert know-how is increasing alongside the complexity of Systems. To deal with this challenge, this paper aims at opening the way to new approaches of know-how reuse, in order to improve Engineering activities. For that purpose, it explores the capabilities of three reuse approaches (commercial off-the-shelf (COTS), set-based design and patterns), and their ability to be linked with a Model-Based Systems Engineering framework.

  • Use of Patterns for Know-How Reuse in a Model-Based Systems Engineering Framework
    IEEE Systems Journal, 1
    Co-Authors: Quentin Wu, David Gouyon, Eric Levrat, Sophie Boudau
    Abstract:

    The increasing complexity of Systems being developed requires engineers to review their practices to improve Engineering efficiency and meet the needs of a competitive market. To answer these challenges, engineers have always reused their know-how. However, facing today's rising complexity, reuse has to be much more performant. That is why models supported by formal or semiformal languages are preferred to avoid the variability of natural languages interpretation. In this context, Model-Based Systems Engineering (MBSE) made it possible to change the Engineering paradigm by proposing a unique, shared system model. To promote and ease MBSE adoption, reuse should be fostered to respect the engineer's working method. A promising method for reusing models is based on the pattern concept. Thus, this article aims to review and evaluate the pattern concept as a means of transferring know-how and fostering reuse in an MBSE approach.

Manas Bajaj - One of the best experts on this subject based on the ideXlab platform.

  • mbse foundations for extended model based Systems Engineering across system lifecycle
    INCOSE International Symposium, 2016
    Co-Authors: Manas Bajaj, Dirk Zwemer, Alex Phung, Anshu Dwivedi, Rose Yntema, Amit Kumar, Manoj Waikar
    Abstract:

    This paper presents an approach for next-generation Model-Based Systems Engineering across the system lifecycle, labelled MBSE++. This approach is based on the idea of a Total System Model that serves and evolves as the digital blueprint of a system through its lifecycle. The fundamental principles of MBSE++ are presented in this paper, including the use of decentralized and heterogeneous Engineering models and repositories, spectrum of fine-grained Model-Based connections, unified representation of the system independent of the location of models, model transformations, comparisons, and synchronization to communicate between disciplines, and visualization and analytics for effective decision making. The motivation for each of the MBSE++ principles is presented, followed by a description of use cases. The use cases are exemplified using Syndeia, a MBE/MBSE platform developed by Intercax.

  • MBSE++ — Foundations for Extended Model-Based Systems Engineering Across System Lifecycle
    INCOSE International Symposium, 2016
    Co-Authors: Manas Bajaj, Dirk Zwemer, Alex Phung, Anshu Dwivedi, Rose Yntema, Amit Kumar, Manoj Waikar
    Abstract:

    This paper presents an approach for next-generation Model-Based Systems Engineering across the system lifecycle, labelled MBSE++. This approach is based on the idea of a Total System Model that serves and evolves as the digital blueprint of a system through its lifecycle. The fundamental principles of MBSE++ are presented in this paper, including the use of decentralized and heterogeneous Engineering models and repositories, spectrum of fine-grained Model-Based connections, unified representation of the system independent of the location of models, model transformations, comparisons, and synchronization to communicate between disciplines, and visualization and analytics for effective decision making. The motivation for each of the MBSE++ principles is presented, followed by a description of use cases. The use cases are exemplified using Syndeia, a MBE/MBSE platform developed by Intercax.

  • Maestro – A model‐based Systems Engineering environment for complex electronic Systems
    INCOSE International Symposium, 2012
    Co-Authors: Manas Bajaj, Dirk Zwemer, Andrew Scott, Douglas M. Deming, Gregory L. Wickstrom, Mark J. De Spain, Russell Peak
    Abstract:

    In this paper we present Maestro, a Model-Based Systems Engineering (MBSE) environment for design and simulation of complex electronic Systems using Orchestra—a simulation tool developed at Sandia National Laboratories. Maestro is deployed as a plugin for MagicDraw and uses Orchestra domain-specific language (DSL) which is based on SysML. Maestro enables a Model-Based design and analysis approach that replaces the traditional document-based Systems Engineering process. It provides a unified graphical modeling environment to domain experts who have had to depend on drawing tools for defining system architecture and manual transcription of system topology in creating complex simulation models.

  • 4.3.1 Satellites to Supply Chains, Energy to Finance —SLIM for Model‐Based Systems Engineering
    INCOSE International Symposium, 2011
    Co-Authors: Manas Bajaj, Dirk Zwemer, Alex Phung, Russell S Peak, Andrew Scott, Miyako W. Wilson
    Abstract:

    Development of complex Systems is a collaborative effort spanning disciplines, teams, processes, software tools, and modeling formalisms. Increasing system complexity, reduction in available resources, globalized and competitive supply chains, and volatile market forces necessitate that a unified Model-Based Systems Engineering environment replace ad-hoc, document-centric and point-to-point environments in organizations developing complex Systems. To address this challenge, we envision SLIM—a collaborative, Model-Based Systems Engineering workspace for realizing next-generation complex Systems. SLIM uses SysML to represent the front-end conceptual abstraction of a system that can “co-evolve” with the underlying fine-grained connections to models in discipline-specific tools and standards. With SLIM, system engineers can drive automated requirements verification, system simulations, trade studies and optimization, risk analyses, design reviews, system verification and validation, and other key Systems Engineering tasks from the earliest stages of development directly from the SysML-based system model. SLIM provides analysis tools that are independent of any Systems Engineering methodology, and integration tools that connect SysML with a wide variety of COTS and in-house design and simulation tools.

  • slim collaborative model based Systems Engineering workspace for next generation complex Systems
    IEEE Aerospace Conference, 2011
    Co-Authors: Manas Bajaj, Dirk Zwemer, Alex Phung, Russell S Peak, Andrew Scott, Miyako Wilson
    Abstract:

    Development of complex Systems is a collaborative effort spanning disciplines, teams, processes, software tools, and modeling formalisms. It is the vision of Model-Based Systems Engineering (MBSE) to enable a consistent, coherent, interoperable, and evolving model of a system throughout its lifecycle. However, no currently available modeling language can represent all aspects of a system (including system-of-Systems) at all levels of abstraction across the lifecycle.

Quentin Wu - One of the best experts on this subject based on the ideXlab platform.

  • CSDM - A Review of Know-How Reuse with Patterns in Model-Based Systems Engineering
    Complex Systems Design & Management, 2018
    Co-Authors: Quentin Wu, David Gouyon, Eric Levrat, Sophie Boudau
    Abstract:

    The increasing complexity of Systems to be developed requires engineers to review their practices in order to improve the efficiency of Engineering and meet the needs of a competitive market. That is why models supported by formal or semi-formal languages are preferred to avoid the understanding variability of natural languages. In this context, Model-Based Systems Engineering (MBSE) made it possible to change the Engineering paradigm by putting forward a unique, shared system model. To promote its adoption, a solution would be to allow reuse of knowledge and know-how, to encourage engineers seizing and adapting MBSE to their needs. This paper aims to review and evaluate the concept of patterns towards reuse in Engineering, especially in a MBSE approach.

  • TOWARDS MODEL‐BASED Systems Engineering (MBSE) PATTERNS TO EFFICIENTLY REUSE KNOW‐HOW
    Insight, 2017
    Co-Authors: Quentin Wu, David Gouyon, Pascal Hubert, Eric Levrat
    Abstract:

    Know-how reuse is an approach that has been always used by engineers to take advantage of their accumulated knowledge and practices. But, the difficulty to formalize and reuse expert know-how is increasing alongside the complexity of Systems. To deal with this challenge, this paper aims at opening the way to new approaches of know-how reuse, in order to improve Engineering activities. For that purpose, it explores the capabilities of three reuse approaches (commercial off-the-shelf (COTS), set-based design and patterns), and their ability to be linked with a Model-Based Systems Engineering framework.

  • towards model based Systems Engineering mbse patterns to efficiently reuse know how
    Insight, 2017
    Co-Authors: Quentin Wu, David Gouyon, Pascal Hubert, Eric Levrat
    Abstract:

    Know-how reuse is an approach that has been always used by engineers to take advantage of their accumulated knowledge and practices. But, the difficulty to formalize and reuse expert know-how is increasing alongside the complexity of Systems. To deal with this challenge, this paper aims at opening the way to new approaches of know-how reuse, in order to improve Engineering activities. For that purpose, it explores the capabilities of three reuse approaches (commercial off-the-shelf (COTS), set-based design and patterns), and their ability to be linked with a Model-Based Systems Engineering framework.

  • Use of Patterns for Know-How Reuse in a Model-Based Systems Engineering Framework
    IEEE Systems Journal, 1
    Co-Authors: Quentin Wu, David Gouyon, Eric Levrat, Sophie Boudau
    Abstract:

    The increasing complexity of Systems being developed requires engineers to review their practices to improve Engineering efficiency and meet the needs of a competitive market. To answer these challenges, engineers have always reused their know-how. However, facing today's rising complexity, reuse has to be much more performant. That is why models supported by formal or semiformal languages are preferred to avoid the variability of natural languages interpretation. In this context, Model-Based Systems Engineering (MBSE) made it possible to change the Engineering paradigm by proposing a unique, shared system model. To promote and ease MBSE adoption, reuse should be fostered to respect the engineer's working method. A promising method for reusing models is based on the pattern concept. Thus, this article aims to review and evaluate the pattern concept as a means of transferring know-how and fostering reuse in an MBSE approach.

Dirk Zwemer - One of the best experts on this subject based on the ideXlab platform.

  • mbse foundations for extended model based Systems Engineering across system lifecycle
    INCOSE International Symposium, 2016
    Co-Authors: Manas Bajaj, Dirk Zwemer, Alex Phung, Anshu Dwivedi, Rose Yntema, Amit Kumar, Manoj Waikar
    Abstract:

    This paper presents an approach for next-generation Model-Based Systems Engineering across the system lifecycle, labelled MBSE++. This approach is based on the idea of a Total System Model that serves and evolves as the digital blueprint of a system through its lifecycle. The fundamental principles of MBSE++ are presented in this paper, including the use of decentralized and heterogeneous Engineering models and repositories, spectrum of fine-grained Model-Based connections, unified representation of the system independent of the location of models, model transformations, comparisons, and synchronization to communicate between disciplines, and visualization and analytics for effective decision making. The motivation for each of the MBSE++ principles is presented, followed by a description of use cases. The use cases are exemplified using Syndeia, a MBE/MBSE platform developed by Intercax.

  • MBSE++ — Foundations for Extended Model-Based Systems Engineering Across System Lifecycle
    INCOSE International Symposium, 2016
    Co-Authors: Manas Bajaj, Dirk Zwemer, Alex Phung, Anshu Dwivedi, Rose Yntema, Amit Kumar, Manoj Waikar
    Abstract:

    This paper presents an approach for next-generation Model-Based Systems Engineering across the system lifecycle, labelled MBSE++. This approach is based on the idea of a Total System Model that serves and evolves as the digital blueprint of a system through its lifecycle. The fundamental principles of MBSE++ are presented in this paper, including the use of decentralized and heterogeneous Engineering models and repositories, spectrum of fine-grained Model-Based connections, unified representation of the system independent of the location of models, model transformations, comparisons, and synchronization to communicate between disciplines, and visualization and analytics for effective decision making. The motivation for each of the MBSE++ principles is presented, followed by a description of use cases. The use cases are exemplified using Syndeia, a MBE/MBSE platform developed by Intercax.

  • Maestro – A model‐based Systems Engineering environment for complex electronic Systems
    INCOSE International Symposium, 2012
    Co-Authors: Manas Bajaj, Dirk Zwemer, Andrew Scott, Douglas M. Deming, Gregory L. Wickstrom, Mark J. De Spain, Russell Peak
    Abstract:

    In this paper we present Maestro, a Model-Based Systems Engineering (MBSE) environment for design and simulation of complex electronic Systems using Orchestra—a simulation tool developed at Sandia National Laboratories. Maestro is deployed as a plugin for MagicDraw and uses Orchestra domain-specific language (DSL) which is based on SysML. Maestro enables a Model-Based design and analysis approach that replaces the traditional document-based Systems Engineering process. It provides a unified graphical modeling environment to domain experts who have had to depend on drawing tools for defining system architecture and manual transcription of system topology in creating complex simulation models.

  • 4.3.1 Satellites to Supply Chains, Energy to Finance —SLIM for Model‐Based Systems Engineering
    INCOSE International Symposium, 2011
    Co-Authors: Manas Bajaj, Dirk Zwemer, Alex Phung, Russell S Peak, Andrew Scott, Miyako W. Wilson
    Abstract:

    Development of complex Systems is a collaborative effort spanning disciplines, teams, processes, software tools, and modeling formalisms. Increasing system complexity, reduction in available resources, globalized and competitive supply chains, and volatile market forces necessitate that a unified Model-Based Systems Engineering environment replace ad-hoc, document-centric and point-to-point environments in organizations developing complex Systems. To address this challenge, we envision SLIM—a collaborative, Model-Based Systems Engineering workspace for realizing next-generation complex Systems. SLIM uses SysML to represent the front-end conceptual abstraction of a system that can “co-evolve” with the underlying fine-grained connections to models in discipline-specific tools and standards. With SLIM, system engineers can drive automated requirements verification, system simulations, trade studies and optimization, risk analyses, design reviews, system verification and validation, and other key Systems Engineering tasks from the earliest stages of development directly from the SysML-based system model. SLIM provides analysis tools that are independent of any Systems Engineering methodology, and integration tools that connect SysML with a wide variety of COTS and in-house design and simulation tools.

  • slim collaborative model based Systems Engineering workspace for next generation complex Systems
    IEEE Aerospace Conference, 2011
    Co-Authors: Manas Bajaj, Dirk Zwemer, Alex Phung, Russell S Peak, Andrew Scott, Miyako Wilson
    Abstract:

    Development of complex Systems is a collaborative effort spanning disciplines, teams, processes, software tools, and modeling formalisms. It is the vision of Model-Based Systems Engineering (MBSE) to enable a consistent, coherent, interoperable, and evolving model of a system throughout its lifecycle. However, no currently available modeling language can represent all aspects of a system (including system-of-Systems) at all levels of abstraction across the lifecycle.