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Generalized utilization-based similarity coefficient for machine-part grouping problem in cellular manufacturing

Ghosh Tamal

Management and Production Engineering Review

2019

Vol. 10, No. 4

90--100

This article intends to justify the gap in the research of similarity coeﬃcient driven approaches and cell formation problems (CFP) based on ratio data in cellular manufacturing systems (CMS). The actual implication of ratio data was vaguely addressed in past literature, which has been corrected recently. This research considered that newly projected CFP based on ration data. This study further revealed the lack of interest of researchers in investigation for an appropriate and improved similarity coeﬃcient primarily for CFP based on ratio data. For that matter a novel similarity coeﬃcient named as Generalized Utilization-based Similarity Coeﬃcient (GUSC) is introduced, which scientiﬁcally handles ratio data. Thereafter a two-stage cell formation technique is adopted. First, the proposed GUSC based method is employed to obtained eﬃcient machine cells. Second, a novel part allocating heuristic is proposed to obtain eﬀective part families. This proposed approach is successfully veriﬁed on the test problems and compared with algorithms based on another similarity coeﬃcient and a recent metaheuristic. The proposed method is shown to obtain 66.67% improved solutions.