Bridging the Gap Between Model‐based Systems Engineering Methodologies and Their Effective Practice – A Case Study on Nuclear Power Plants Systems Engineering

Navas, Juan Sebastián Gómez; Tannery, Philippe; Bonnet, Stéphane; Voirin, Jean‐Luc

doi:10.1002/inst.12185

Cited by 10 publications

(9 citation statements)

References 2 publications

(2 reference statements)

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“…Thales Group and Framatome presented a SE case study where model-based systems engineering (MBSE) methodologies was applied under real-life conditions [6] . In that case, pressurized water reactors (PWR) were divided into nuclear island (NI) system (as their systemof-interest) and the conventional island (CI), and the NI system.…”

Section: Se Methods Adopted In Npp Design and Constructionmentioning

confidence: 99%

Considerations on Deploying Systems Engineering to Accelerate the R&D of New Nuclear Fuels

Li¹,

Qian²,

Liu³

et al. 2023

E3S Web Conf.

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A project for the research and development (R&D) of new nuclear fuels is a system with the following characteristics: having large number of stakeholders, progressing through a set of life cycle stages, validated by advanced measures of effectiveness, integrating multiple disciplines and specialty groups, and facilitated by enabling systems, thus can be effectively managed with the approach of systems engineering (SE). In this paper, the deployment of SE in global nuclear industry including Russia, the U.S., France, Korea and China is reviewed. By learning the experience of SE deployment in global nuclear industry, the SE characteristics of projects for the R&D of new nuclear fuels are analysed based on systems science. The R&D projects of medical cobalt adjuster rod assemblies and mobile nuclear reactor in China North Nuclear Fuel Co., Ltd. (CNNFC) are discussed as SE practices. It is proposed that in order to accelerate the R&D of new nuclear fuels in nuclear fuel manufacturing plant, SE should be enhanced in the following aspects: adhering to systems science, making good use of SE engineers, introducing SE tools, and exploring SE characteristics.

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Section: Se Methods Adopted In Npp Design and Constructionmentioning

confidence: 99%

Considerations on Deploying Systems Engineering to Accelerate the R&D of New Nuclear Fuels

Li¹,

Qian²,

Liu³

et al. 2023

E3S Web Conf.

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show abstract

“…31 SE applications span across diverse industry sectors, including: aerospace and avionics, [32][33][34][35][36] automotive engineering, [37][38][39] biochemical engineering, [40][41][42] civil engineering and transportation, 43,44 cybersecurity, 45,46 defense, [47][48][49] disaster management, [50][51][52] energy grids, [53][54][55] product manufacturing, [56][57][58] chemical engineering, [59][60][61][62][63] and nuclear engineering. 64,65 However, industries like aerospace, energy, and automotive integrate SE practices comparatively more than industries like consumer electronics, healthcare, and construction. 66…”

Section: Adoptionmentioning

confidence: 99%

Model‐based systems engineering approaches to chemicals and materials manufacturing

Le,

Feingold,

Glandorf

et al. 2023

AIChE Journal

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Model‐based systems engineering (MBSE) is part of a long‐term trend toward model‐centric approaches adopted by many engineering disciplines. We establish the need of an MBSE approach by reviewing the importance, complexity, and vulnerability of the U.S. chemical supply chains. We discuss the origins, work processes, modeling approaches, and supporting tools of the systems engineering discipline (SE) and discuss limitations of the Process Systems Engineering (PSE) framework. We make the case for MBSE as a more generalizable approach. We introduce systems modeling strategies for MBSE, and a novel MBSE method that supports the automation tailored and extended to support the analysis of chemical supply chains. We demonstrate a specific use case of this method by creating a systems model for the manufacturing of an active pharmaceutical ingredient, Atropine. We conclude with a prospectus on developmental opportunities for extracting greater benefit from MBSE in the design and management of chemical supply chains.

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“…Arcadia describes the detailed reasoning necessary to understand the real customer need, define and share the product architecture among all engineering stakeholders, validate its design and justify it, early on, and ease a master integration, validation and verification [39].…”

Section: F Arcadia/capellamentioning

confidence: 99%

“…In [39] Navas, Tannery, Bonnet and Voirin present a tailored version of Arcadia method that distinguishes between System Analysis and Logical Analysis.…”

Section: F Arcadia/capellamentioning

confidence: 99%

MBSE and MDAO for Early Validation of Design Decisions: a Bibliography Survey

Chaudemar

Saqui-Sannes

2021

2021 IEEE International Systems Conference (SysCon)

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Switching from document-centric engineering to Model Based Systems Engineering (MBSE), Systems Engineering (SE) has significantly evolved in terms of standard practices for the design of complex, interdisciplinary systems. MBSE consists in a top-down, model based approach to describe the entire system focusing on different points of view that cover at least structural and behavioral descriptions. Over the past decade, the need to perform an engineering analysis in the early steps of the system's life cycle has opened avenues for joint use of MBSE and Multidisciplinary Design Analysis and Optimization (MDAO). MDAO is fully dedicated to Analysis and Optimization: the model is restricted to a single aspect of the system that is described in details in a formal language that will be the input of the associated computing tool. This paper surveys and categorizes MBSE and MDAO approaches for better understanding of how MBSE and MDAO can be associated in a systems engineering project. Lessons learned from this literature survey will be used in the framework of French project Concorde. One major expected achievement of the project is to design and implement a methodology to populate parts of the MDAO modeling approach directly from the MBSE one, applied to a UAV case study.

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Bridging the Gap Between Model‐based Systems Engineering Methodologies and Their Effective Practice – A Case Study on Nuclear Power Plants Systems Engineering

Cited by 10 publications

References 2 publications

Considerations on Deploying Systems Engineering to Accelerate the R&D of New Nuclear Fuels

Considerations on Deploying Systems Engineering to Accelerate the R&D of New Nuclear Fuels

Model‐based systems engineering approaches to chemicals and materials manufacturing

MBSE and MDAO for Early Validation of Design Decisions: a Bibliography Survey

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