NDLI: Robust manufacturing design using decision theory

Content Provider	IEEE Xplore Digital Library
Author	Durieux-Paris, S. Paris, J.-L.
Copyright Year	2006
Description	Author affiliation: Lab. d'Ingenierie des Structures Mecaniques et des Materiaux, Inst. Superieur de Mecanique de Paris - Supmeca, Saint Ouen (Durieux-Paris, S.)
Abstract	Performance evaluation of a design solution for a manufacturing system is based on a model containing data, supposed to represent future exploitation conditions. Unfortunately, data can be imprecise at the design stage or can evolve during the exploitation of the system. However, these data can have a deep impact on the system performance. Therefore, it is necessary to take into account possible evolutions of exploitation conditions at the design stage and to compare solutions regarding their performance on several potential environments, i.e. regarding their robustness. Thus, the decision-makers have to choose a solution among several, regarding its behavior and its performance under several operating conditions. Furthermore, they need tools to support their decisions, which allow justifying mathematically their choice. In this article, we propose an approach based on decision theory able to help manager in the area of design of manufacturing system taking into account possible variation of production environment, by bringing mathematical tools and robustness measures
Starting Page	1078
Ending Page	1083
File Size	7733409
Page Count	6
File Format	PDF
ISBN	1424404509
DOI	10.1109/ICSSSM.2006.320658
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-25
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Production systems Electric breakdown decision theory simulation performance evaluation robustness Environmental management Design optimization Manufacturing industries System performance Decision theory Design of manufacturing system Robustness Manufacturing systems Context modeling
Content Type	Text
Resource Type	Article

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