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Reports (Research Report) Year : 1984

Artificial memory in production management


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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Dates and versions

inria-00076221 , version 1 (24-05-2006)


  • HAL Id : inria-00076221 , version 1


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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