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Communication Dans Un Congrès Année : 2008

Simulation Reduction Models Approach Using Neural Network

Denise Choffel
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André Thomas

Résumé

Simulation is often used for the evaluation of a Master Production Schedule (MPS). Also, the goal of this paper is the study of the design of a simulation model by reducing its complexity. According to theory of constraints, we want to build reduced models composed exclusively by bottleneck and, in order to do that, a neural network, particularly a multilayer perceptron, is used. Moreover, the structure of the network is determined by using a pruning procedure. This approach is applied to a sawmill flow shop case

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Dates et versions

hal-00282804 , version 1 (28-05-2008)

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  • HAL Id : hal-00282804 , version 1

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Philippe Thomas, Denise Choffel, André Thomas. Simulation Reduction Models Approach Using Neural Network. 10th International Conference on Computer Modelling and Simulation, EUROSIM'08, Apr 2008, Cambridge, United Kingdom. pp.679-684. ⟨hal-00282804⟩
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