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Artificial memory in production management

Abstract : The scheduling of parts in a production system is an NP-complete problem. To search an optimal solution is incompatible with the "real time" constraint. The usual procedures (clusters-job, introduction of constraints on the fabrication starting time, hierarchical schedulind) all contribute to vanish the combinatorial aspect of the problem. We propose to memorize some behaviour-classes and to use them in order to choose the management rule in relation with the aimed targets. A numerical example will describe this approach.
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https://hal.inria.fr/inria-00076221
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 8:21:53 PM
Last modification on : Thursday, February 11, 2021 - 2:48:12 PM
Long-term archiving on: : Friday, May 13, 2011 - 6:02:41 PM

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  • HAL Id : inria-00076221, version 1

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Evelyne Bechler, Jean-Marie Proth, Kosta Voyiatzis. Artificial memory in production management. [Research Report] RR-0336, INRIA. 1984, pp.16. ⟨inria-00076221⟩

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