By Gauthier Fanmuy, Eric Goubault, Daniel Krob, François Stephan
This ebook includes all refereed papers that have been permitted to the 7th variation of the overseas convention « advanced platforms layout & administration Paris» (CSD&M Paris 2016) which happened in Paris (France) at the December 13-14, 2016
These court cases conceal the latest tendencies within the rising box of advanced structures sciences & practices from an business and educational standpoint, together with the most commercial domain names (aeronautic & aerospace, safety & safety, electronics & robotics, strength & surroundings, healthcare & welfare prone, software program & e-services, transportation), medical & technical subject matters (systems basics, structures structure & engineering, structures metrics & caliber, approach is modeling instruments) and process kinds (artificial ecosystems, embedded structures, software program & info structures, structures of structures, transportation systems).
The CSD&M Paris 2016 convention is equipped below the information of the CESAMES non-profit association, tackle: CESAMES, eight rue de Hanovre, 75002 Paris, France.
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Extra resources for Complex Systems Design & Management: Proceedings of the Seventh International Conference on Complex Systems Design & Management, CSD&M Paris 2016
The Trans-Alaska Pipeline System … 25 • Oil production has been as robust as anticipated. The chart below shows the annual throughput from 1977 to 2015. 6 Questions for Discussion Question 1: Advances in systems engineering are often the result of either technology “push” or competitive advances in technology. At other times, they are clear outgrowths of non-technical factors, such as political, economic, or environmental ones, such as the development of electric automobiles. Can you suggest some other examples of advances in system design or systems engineering whose development was inspired by non-technical factors?
State of the art in Optimization in System Engineering PLM issues naturally give rise to optimization problems, as mentioned in [11, 12]. g. cost and robustness), we refer to [13, 14]. Evolutionary algorithms are commonly used for a resolution framework to solve such problems, we refer to [11, 15, 16]. As a drawback, evolutionary algorithms require very speciﬁc implementation and parametrization. It requires some speciﬁc expertise and signiﬁcant eﬀorts to be eﬃcient, even with the uniﬁed implementation provided in .
However recent advances allow to use MIP for large industrial problems, both to ﬁnd solutions heuristically and to compute optimality gaps we refer to [23–25]. Recent advances in OR also allows to consider uncertainty in the input data of MIP problems, we refer to  for Robust Optimization. Paper outline This paper is organized as follows. Section 2 introduces the speciﬁc problematic of system retirements giving an overview of the tool stack elaborated in response to this. Sections 3–6 introduce the speciﬁc modeling details of the component of the tool stack: the MBSE architecture, the pivot ontology, the MIP formulation of the problem, and the robust optimization extensions.
Complex Systems Design & Management: Proceedings of the Seventh International Conference on Complex Systems Design & Management, CSD&M Paris 2016 by Gauthier Fanmuy, Eric Goubault, Daniel Krob, François Stephan