A competitive neural network approach to multi-objective flexible manufacturing system scheduling

A competitive neural network approach to multi-objective flexible manufacturing system scheduling

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Article ID: iaor19991706
Country: United Kingdom
Volume: 36
Issue: 7
Start Page Number: 1749
End Page Number: 1765
Publication Date: Jul 1998
Journal: International Journal of Production Research
Authors: , ,
Keywords: scheduling, neural networks
Abstract:

The main contribution of this paper is the development of a multi-objective FMS scheduler which is designed to maximally satisfy the desired values of multiple objectives set by the operator. For each production interval, a decision rule for each decision variable is chosen by the FMS scheduler. A competitive neural network is applied to present fast but good decision rules to the operator. A unique feature of the FMS scheduler is that the competitive neural network generates the next decision rules based on the current decision rules, system status and performance measures. A commercial FMS is simulated to prove the effectiveness of the FMS scheduler. The result shows that the FMS scheduler can successfully satisfy multiple objectives.

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