Selection of a Threshold Value Based on Material Handling Cost in Machine-Component Grouping

The threshold value of group similarity in the formation of cellular manufacturing systems

“…Consequently, while the approach proposed by Seifoddini and Wolfe (1987) is theoretically effective but not practical, it would be better to adopt a percentile based threshold similarity coefficient value separating the CF problem from the plant layout problem in agreement with recent studies of CM in the literature.…”

“…The aim of CM has already been briefly introduced in Section 1 and at the beginning of Section 2 in which the contribution made by Seifoddini and Wolfe (1987) is discussed.…”

“…Moreover, the idea of proposing an effective selection of the so-called similarity threshold value to support the clustering analysis was introduced by Seifoddini and Wolfe (1987) this need is very difficult to identify, and especially so for professionals and managers of very complicated production systems (based on large numbers of machines, parts, and components).…”

“…Moreover, Seifoddini and Wolfe (1987) propose the selection of the best value of similarity by quantifying the global system travelling distance between cells i.e. for a given plant layout.…”

Simultaneous Hierarchical Clustering for Cell Formation Problems with Production Information

“…In view of production volume, the early idea is to extend the Jaccard coefficient by multiplying the volume values with the matching and unmatching factors [13]. Then, it remains common to incorporate the production volume as the weight of movements in determining some generalized similarity measures (e.g., [14,15]).…”