Modified fuzzy C-means algorithm for cellular manufacturing

Authors:
S. Lozano;D. Dobado;J. Larrañeta;L. Onieva
Affiliations:
Departamento de Organizacion Industrial y Gestion de Empresas, Escuela Superior de Ingenieros, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092 Sevilla, Spain;Departamento de Organizacion Industrial y Gestion de Empresas, Escuela Superior de Ingenieros, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092 Sevilla, Spain;Departamento de Organizacion Industrial y Gestion de Empresas, Escuela Superior de Ingenieros, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092 Sevilla, Spain;Departamento de Organizacion Industrial y Gestion de Empresas, Escuela Superior de Ingenieros, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092 Sevilla, Spain
Venue:
Fuzzy Sets and Systems
Year:
2002

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Abstract

Several studies have used the fuzzy C-means (FCM) algorithm for part-machine grouping in cellular manufacturing. However, the application of the standard FCM algorithm to this problem has a number of drawbacks. This paper proposes a modified FCM (MFCM) algorithm that groups components and machines in parallel and through an annealing process with the weighting exponent arrives at a crisp solution and an objective function value which can be interpreted in terms of the number of voids and intercellular movements of the part-machine grouping obtained. Computational experiences show that although MFCM may sometimes require slightly more computing time than other methods, not only is it able to find better solutions but also it has higher discriminating power for determining the number of cells.