A microcomputer based design of a cellular manufacturing system
Computers and Industrial Engineering
Single linkage versus average linkage clustering in machine cells formation applications
Computers and Industrial Engineering
Computers and Industrial Engineering
An efficient algorithm for solving the machine chaining problem in cellular manufacturing
Computers and Industrial Engineering
Cell formation in group technology: review, evaluation and directions for future research
Computers and Industrial Engineering - Cellular manufacturing systems: design, analysis and implementation
A dissimilarity measure for solving the cell formation problem in cellular manufacturing
Computers and Industrial Engineering
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Although many similarity coefficients have been proposed, very few comparative studies have been done to evaluate the performance of various similarity coefficients. In this paper, we compare the performance of 20 well-known similarity coefficients. Two hundred and fourteen numerical cell formation problems, which are selected from the literature or generated deliberately, are used for the comparative study. Nine performance measures are used for evaluating the goodness of cell formation solutions. Two characteristics, discriminability and stability of the similarity coefficients are tested under different data conditions. From the results, three similarity coefficients are found to be more discriminable. Jaccard is found to be the most stable similarity coefficient. Four similarity coefficients are not recommendable due to their poor performances.