Models as enablers of agility in complex systems engineering

Navas, Juan Sebastián Gómez; Bonnet, Stéphane; Voirin, Jean‐Luc; Journaux, Guillaume

doi:10.1002/j.2334-5837.2020.00726.x

Cited by 7 publications

(5 citation statements)

References 4 publications

(1 reference statement)

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“…Although architecture models have proven their contribution to the implementation of agile approaches on complex systems engineering [Navas 2020], current practices and tools do not suffice to (i) demonstrate to the customers the value that is acquired at each increment (e.g. by demonstrating the intended behavior of the system at operation), (ii) implement design approaches founded on e.g.…”

Section: Current State and Limitationsmentioning

confidence: 99%

From Model‐based to Model and Simulation‐based Systems Architectures – achieving quality engineering through descriptive and analytical models

Nowodzienski

Navas

2022

INCOSE International Symp

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Systems architecture design is a key activity that affect the overall systems engineering cost. Hence it is fundamental to ensure that the system architecture reaches a proper quality. In this paper, we leverage on MBSE approaches and complement them with simulation techniques, as a promising way to improve the quality of the system architecture definition, and to come up with innovative solutions while securing the systems engineering process.

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Section: Current State and Limitationsmentioning

confidence: 99%

From Model‐based to Model and Simulation‐based Systems Architectures – achieving quality engineering through descriptive and analytical models

Nowodzienski

Navas

2022

INCOSE International Symp

Self Cite

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“…Capabilities help structure engineering activities by providing powerful means to assign responsibilities and cadence the synchronization of all teams (architects, developers, V&V engineers) by defining the functional expectations of each development iteration [Navas 2020]. Therefore, capabilities constitute an excellent support to reflect the most structuring features captured in the feature model.…”

Section: Case Studymentioning

confidence: 99%

“…by defining the functional expectations of each development iteration [Navas 2020]. Therefore, capabilities constitute an excellent support to reflect the most structuring features captured in the feature model.…”

Section: Case Studymentioning

confidence: 99%

“…ARCADIA simplified ontologyAs the lack of properly tailored tools has proven to be a major obstacle to the implementation of MBSE in industrial organizations[Bonnet 2015], Arcadia is recommended to be implemented using the open-source workbenchCapella [Voirin 2015][Capella 2020]. Their combined use has proven well-suited for large-scale deployments of MBSE intended for engineers having diverse backgrounds[Bonnet 2020].…”

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confidence: 99%

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A value‐driven, integrated approach to Model‐Based Product Line Engineering

Navas

Bonnet

Voirin

et al. 2021

INCOSE International Symp

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Pushed to the edge of their capabilities in a highly competitive world market, organizations everywhere look for efficient means to innovate and develop their products and services. This paper proposes and illustrates a holistic integration of Product Line Engineering (PLE) and Model‐Based Systems Engineering (MBSE) to connect and align market and business analysis, architecting, design, and engineering. This value‐driven, integrated approach capitalizes on MBSE best practices to tackle the concrete challenges of product line engineering.

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“…Over the past decades, during the process of complex system design, particularly in fields like aerospace engineering and the development of launch vehicles, engineers have faced numerous challenges. Because engineers do not only deal with system complexity, but also face challenges of time‐to‐market and sophisticated industrial schemes, 1 and the significance of agile design is becoming increasingly numerous. Agile design, in this context, signifies a disparate from traditional design paradigms.…”

Section: Introductionmentioning

confidence: 99%

A dual‐mode integration framework and application to agile feedback design of launch vehicles

Zhang,

Cai,

Liu

et al. 2024

Int Journal of Mech Sys Dyn

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In recent decades, the design of complex systems like launch vehicles in the aerospace industry has presented engineers with challenges that go beyond system complexity. Issues such as time‐to‐market pressures and intricate industrial processes have underscored the increasing significance of agile design methodologies. Agile design is derived from the simplification of the design process and enhancing cross‐domain data transmission and feedback. While methods based on model‐based system engineering have improved iteration times in system architecture design, challenges persist in cross‐domain data transmission. Due to the diversity of complex system models and data, a single‐mode integration method is difficult to realize the data link construction of all tools used. To address this challenge, this paper proposes a dual‐mode data integration framework with expansibility, universality, and cost‐efficiency which leverages the benefits of Remote Procedure Call and Intermediate Exchange Module, addressing the challenge of constructing cross‐domain data links under single‐mode integration. In this study, two critical requirements of the first‐ and second‐stage separation systems, namely, weight and minimum separation gap, are selected for data feedback. A Modelica‐based multiphysics simulation model is developed in MWorks; visualization and computation of the minimum gap are carried out in CoppeliaSim. To bridge the gap between domain‐specific tools, Matlab and Functional Mock‐up Unit modules are introduced as middleware, facilitating data feedback linkage. The entire simulation process is orchestrated using activity diagrams in the MagicDraw tool. The study delves into the influence of critical design parameters, such as the initial angular velocity of separation and the thrust of the retro rocket, on the minimum separation gap. It provides an analysis of minimum separation gap variations under uncertain operating conditions and examines design margins. Significantly, the paper highlights the significance of controlling the initial angular velocity during separation and the reliability of the retro rocket, providing essential decision supports and valuable insights to agile the process of system design.

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Models as enablers of agility in complex systems engineering

Cited by 7 publications

References 4 publications

From Model‐based to Model and Simulation‐based Systems Architectures – achieving quality engineering through descriptive and analytical models

From Model‐based to Model and Simulation‐based Systems Architectures – achieving quality engineering through descriptive and analytical models

A value‐driven, integrated approach to Model‐Based Product Line Engineering

A dual‐mode integration framework and application to agile feedback design of launch vehicles

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