| Summary: | 碩士 === 元智大學 === 工業工程研究所 === 81 === This research investigates the application of artificial neural
network techniques to the part-machine grouping problem in GT.
The neural network models considered in this research include
three variations of Adaptive Resonance Theory (Carpenter-
Grossberg''s Network, ART-1 and ART-2) and Self-Organizing MAP
(SOM). Several enhancements to the neural network are proposed.
Two performance measures, the number of exceptional parts and
grouping efficiency, which are frequently used in the
literature are used to compare the quality of solutions. An
extensive comparison shows that the proposed algorithm
outprforms existing techniques in terms of efficiency and
effectiveness.
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