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Cyclic Productions planning

Authors: Ouajdi Korbaa; Hervé Camus;

Cyclic Productions planning

Abstract

We study in this paper the Flexible Manufacturing Systems (FMS) short-term planning problem. It consists of decomposing the initial demand in different cyclic steady states to reduce the complexity of the general planning and scheduling problem. The main criterion to optimize is the makespan. We give a mathematical formulation of the short-term planning problem using cyclic production. However the resulting problem is a non-linear one with integer variables and non linear constraints. To solve the problem, we first make linear the model by generating a database enumerating all the possible cyclic production horizons and their characteristics. Therefore, the remaining variables are the number of steady states, their characteristics (production) and the number of cycles. We have developed an enumerative method which provides, under several assumptions, the optimal solution. We compare then our results with those obtained by the Ohl's approach [OHL 94] and show that the method developed in this paper provides good results.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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