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: | Yih Y., Min H.-S., Kim C.-O. |
Keywords: | scheduling, neural networks |
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.