Simulation Reduction Models Approach Using Neural Network

Abstract : 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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Submitted on : Wednesday, May 28, 2008 - 2:38:07 PM
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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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