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

Publication Type:
Conference Proceeding
IFAC Proceedings Volumes (IFAC-PapersOnline), 2014, 19 pp. 2605 - 2610
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
1-s2.0-S1474667016420021-main.pdfPublished version730.37 kB
Adobe PDF
© 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.
Please use this identifier to cite or link to this item: