Application of Cluster Analysis to Cellular Manufacturing

摘要: The primary motivation for adopting cellular manufacturing is the globalization and intense competition in current marketplace. initial step design of a system identification part families machine groups forming cells so as to process each family within group with minimum intercellular movements parts. One methodology use similarity coefficients conjunction clustering procedures. In this chapter, we give comprehensive overview discussion developed date solving cell formation problem. Despite previous studies indicated that coefficients-based method (SCM) more flexible than other methods, none has explained reason why SCM flexible. This chapter tries explain explicitly. To summarize various coefficients, develop taxonomy clarify definition usage designing systems. Existing (dissimilarity) far are mapped onto taxonomy. Additionally, production information based discussed historical evolution these outlined. Although many have been proposed, very fewer comparative done evaluate performance coefficients. compare twenty well-known More two hundred numerical problems, which selected fromthe literature or generated deliberately, used study. Nine measures evaluating goodness solutions. Two characteristics, discriminability stability tested under different data conditions. From results, three found be discriminable; Jaccard most stable coefficient. Four not recommendable due their poor performances.