Merits of the production volume based similarity coefficient in machine cell formation

Abstract

In this paper, two types of similarity coefficients are com pared: (1) the Jaccard's coefficient and (2) the production volume based coefficient. Each is used to form a cellular manufacturing system whose performance will be used as a measure of effectiveness of the similarity coefficient. The sum of intercellular and intracellular material handling costs is used as a criterion for performance evaluation.

Application Similarity Coefficient Method to Cellular Manufacturing

“…Merits of the weighted factor based similarity coefficients have been reported by previous studies (Mosier and Taube, 1985b;Mosier, 1989;Seifoddini and Djassemi, 1995). This kind of similarity coefficient attempts to adjust the strength of matches or misses between object pairs to reflect the resemblance value more realistically and accurately by incorporating object attributes.…”

An efficient tabu search algorithm to the cell formation problem with alternative routings and machine reliability considerations

“…According to Seifoddini and Djassemi (1995), incorporation of production volume into the similarity measures increases the chance of components with high production volumes being processed within a single cell. As a result, there will be fewer intercellular movements and lower material handling costs.…”

A multi-objective procedure for labour assignments and grouping in capacitated cell formation problems

“…A considerable amount of work has been done on classifying parts and/or machines into families based on hierarchical clustering (often referred to as`similarity coe cient methods'). Representative works in this stream include McAuley (1972), De Witte (1980, Seifoddini and Wolfe (1986) , Mosier (1989), Gupta and Seifoddini (1990) and Seifoddini and Djassemi (1995). Hierarchical clustering ®rst involves calculation of a similarity (or distance) measure between every pair of parts or machines.…”