Machine-cell and part-family formation in cellular manufacturing using a two-phase clustering algorithm

Publisher:
IFAC
Publication Type:
Conference Proceeding
Citation:
IFAC Proceedings Volumes (IFAC-PapersOnline), 2014, 19 pp. 2605 - 2610
Issue Date:
2014-01-01
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© IFAC. This paper presents a two-phase clustering algorithm for machine-cell and part-family formation in the design of cellular manufacturing systems. The proposed algorithm begins with the determination of initial cluster centers via a linear assignment method using the least similar group representatives in its first phase. A fuzzy C-means clustering method is followed in its second phase for part-family and machine-cell formation using the obtained initial cluster centers. The two-phase algorithm can remedy the problem of clustering inconsistency resulting from the fuzzy C-means method with random initializations. Experimental results on many benchmark data sets based on multiple performance criteria substantiate the effectiveness of the proposed algorithm.
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