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Titlebook: Complex Systems Design & Management; Proceedings of the S Gauthier Fanmuy,Eric Goubault,François Stephan Conference proceedings 2017 Spring

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发表于 2025-3-21 17:07:48 | 显示全部楼层 |阅读模式
书目名称Complex Systems Design & Management
副标题Proceedings of the S
编辑Gauthier Fanmuy,Eric Goubault,François Stephan
视频video
概述Most recent trends in complex systems sciences & practices from an industrial and academic perspective.Results of the “Complex Systems Design & Management” (CSDM 2016) international conference held in
图书封面Titlebook: Complex Systems Design & Management; Proceedings of the S Gauthier Fanmuy,Eric Goubault,François Stephan Conference proceedings 2017 Spring
描述.This book contains all refereed papers that were accepted to the seventh edition of the international conference « Complex Systems Design & Management Paris» (CSD&M Paris 2016) which took place in Paris (France) on the December 13-14, 2016 .These proceedings cover the most recent trends in the emerging field of complex systems sciences & practices from an industrial and academic perspective, including the main industrial domains (aeronautic & aerospace, defense & security, electronics & robotics, energy & environment, healthcare & welfare services, software & e-services, transportation), scientific & technical topics (systems fundamentals, systems architecture & engineering, systems metrics & quality, system is modeling tools) and system types (artificial ecosystems, embedded systems, software & information systems, systems of systems, transportation systems)...The CSD&M Paris 2016 conference is organized under the guidance of the CESAMES non-profit organization, address: CESAMES, 8 rue de Hanovre, 75002 Paris, France..
出版日期Conference proceedings 2017
关键词Complex Systems Sciences; Complex Systems Design; Complex Systems Management; CSD&M 2016; Complex Indust
版次1
doihttps://doi.org/10.1007/978-3-319-49103-5
isbn_softcover978-3-319-84084-0
isbn_ebook978-3-319-49103-5
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Mechanisms in the Spread of Standardshinking and systems engineering approaches in early stages of innovation, at the right time, despite cultural differences. To conclude, we look at what is needed to make complexity easier to grasp, how a combined approach also calls for a fresh look at project organisations and for a practice mixing art and technology.
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https://doi.org/10.1007/978-0-387-71733-3 transportation and distribution networks, this approach also enables an evaluation of various network configurations and resilience strategies. A case study addressing a segment of the water system in Saudi Arabia is given with the results, benefits, and limitations of the technique discussed.
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Challenges for MBSE and PLE for Legacy Product-Based System Environments using the method ARCADIA and the open source modelling tool Capella in the specific case of pre-existing subsystems and how the resulting variability is handled. An outlook will be given to extensions that allow an early safety analysis of models and will provide support for automatic test design.
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Disruptive Innovation in Complex Systemshinking and systems engineering approaches in early stages of innovation, at the right time, despite cultural differences. To conclude, we look at what is needed to make complexity easier to grasp, how a combined approach also calls for a fresh look at project organisations and for a practice mixing art and technology.
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Assessment of Resilience in Desalination Infrastructure Using Semi-Markov Models transportation and distribution networks, this approach also enables an evaluation of various network configurations and resilience strategies. A case study addressing a segment of the water system in Saudi Arabia is given with the results, benefits, and limitations of the technique discussed.
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A Discrepancy-Based Framework to Compare Robustness Between Multi-attribute Evaluationsy, and to real data for evaluation of income segregation for Greater Paris metropolitan area. First numerical results show the potentialities of this new method. Furthermore, its relative independence to system type and model may position it as an alternative to classical statistical robustness methods.
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