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Production/maintenance cooperative scheduling using multi-agents and fuzzy logic

Coudert, Thierry and Grabot, Bernard and Archimède, Bernard Production/maintenance cooperative scheduling using multi-agents and fuzzy logic. (2002) International Journal of Production Research, 40 (18). 4611-4632. ISSN 0020-7543

(Document in English)

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Official URL: http://dx.doi.org/10.1080/00207540210159545


Within companies, production is directly concerned with the manufacturing schedule, but other services like sales, maintenance, purchasing or workforce management should also have an influence on this schedule. These services often have together a hierarchical relationship, i.e. the leading function (most of the time sales or production) generates constraints defining the framework within which the other functions have to satisfy their own objectives. We show how the multi-agent paradigm, often used in scheduling for its ability to distribute decision-making, can also provide a framework for making several functions cooperate in the schedule performance. Production and maintenance have been chosen as an example: having common resources (the machines), their activities are actually often conflicting. We show how to use a fuzzy logic in order to model the temporal degrees of freedom of the two functions, and show that this approach may allow one to obtain a schedule that provides a better compromise between the satisfaction of the respective objectives of the two functions.

Item Type:Article
Additional Information:Thanks to Taylor & Francis editor. The definitive version is available at http://www.tandfonline.com/toc/tprs20/current. The original PDF of the article can be found at : http://dx.doi.org/10.1080/00207540210159545
HAL Id:hal-00767647
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Laboratory name:
Laboratoire Génie de Production - LGP (Tarbes, France) - Systèmes Décisionnels et Cognitifs - SDC
Deposited On:30 Nov 2012 10:24

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