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This paper proposes an effective approach for the part-machine grouping(PMG) based on the non-binary part-machine incidence matrix in which real manufacturing factors such as the operation sequences with multiple visits to the same machine and production volumes of parts are incorporated and each entry represents actual moves due to different operation sequences. The proposed approach adopts Fuzzy ART neural network to quickly create the initial part families and their machine cells. A new performance measure to evaluate and compare the goodness of non-binary block diagonal solution is suggested. To enhance the poor solution due to category proliferation inherent to most artificial neural networks, a supplementary procedure reassigning parts and machines is added. To show effectiveness of the proposed approach to large-size PMG problems, a psuedo-replicated clustering procedure is designed. Experimental results with intermediate to large-size data sets show effectiveness of the proposed approach.
목차
Abstract
1. Introduction
2. Failure of Fuzzy ART Algorithm
3. Methodology for Non-Binary PMG
4. Algorithm
5. Illustrative Examples
6. Experiments with Large-Size Data
7. Concluding Remarks
References
참고문헌 (43)
참고문헌 신청
1. [학술지(정기간행물)] - / 1997 / Assignment allocation and simulated annealing algorithms for cell formation 29 (1) : 53 ~ 67
2. [학술지(정기간행물)] - / 1995 / Neural networks and the part family/machine group formation problem in cellular manufacturing： A framework using fuzzy ART 14 (3) : 148 ~ 159
3. [학술지(정기간행물)] - / 1995 / A new neural network-based cell formation algorithm in cellular manufacturing 33 (2) : 293 ~ 318
4. [학술지(정기간행물)] - / 1988 / A framework for the design of cellular manufacturing 26 (7) : 1161 ~ 1172
5. [학술지(정기간행물)] - / 1991 / Neural network approach to group technology elsevier : 213 ~ 228
2. [학술지(정기간행물)] - / 1995 / Neural networks and the part family/machine group formation problem in cellular manufacturing： A framework using fuzzy ART 14 (3) : 148 ~ 159
3. [학술지(정기간행물)] - / 1995 / A new neural network-based cell formation algorithm in cellular manufacturing 33 (2) : 293 ~ 318
4. [학술지(정기간행물)] - / 1988 / A framework for the design of cellular manufacturing 26 (7) : 1161 ~ 1172
5. [학술지(정기간행물)] - / 1991 / Neural network approach to group technology elsevier : 213 ~ 228
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