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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Rapport
[Research Report] RR-0336, INRIA. 1984, pp.16
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https://hal.inria.fr/inria-00076221
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Soumis le : mercredi 24 mai 2006 - 20:21:53
Dernière modification le : samedi 17 septembre 2016 - 01:06:52
Document(s) archivé(s) le : vendredi 13 mai 2011 - 18:02:41

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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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