Faculty Publications

Part-Machine Grouping In The Presence Of Operation Flexibility

Document Type

Conference

Journal/Book/Conference Title

Proceedings - Annual Meeting of the Decision Sciences Institute

Volume

3

First Page

1273

Last Page

1275

Abstract

This study addresses the part-machine grouping problem for implementing group technology and JIT principles, when machines have operation flexibility. A representation scheme suitable for dealing with operation flexibility of machines is developed. The Fuzzy ART neural network is modified based on this representation. The applicability of this neural network for this problem is demonstrated. A comprehensive experimental study based on the mixture-model approach is conducted to evaluated its performance. Experimental factors include the matrix size, the proportion of voids, the proportion of exceptional elements, and the vigilance threshold. It is seen that the neural network performs very well and identifies a good solution consistently, while consuming very little computational resources. By providing efficient solutions to this problem, the Fuzzy ART neural network paves the way to incorporate other realities faced by cell designers.

Department

Department of Management

Original Publication Date

12-1-1996

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