A part family formation algorithm in GT environment using a multi-objective cluster analysis

Abstract

In the existing literature, the part-family formation problem is nandled either by coding systems or the cluster analysis. In this study, we propose a new method that will consider both design attributes and operation sequences simultaneously in conjunction with the related performance measures such as the machine investment, within and between cell workload variabilities, and the number of skippings. Finally the proposed method is compared with the similarity coefficent method under different experimental settings and its robustness is chocked against the varying system parameters.