Machine cell formation and part family identification by combined algorithm

2020 ◽  
Vol 14 (3/4) ◽  
pp. 200
Author(s):  
M. Shunmugasundaram ◽  
R. Kamalakannan ◽  
V. Anbumalar ◽  
D. Maneiah
Keyword(s):  
Cell Formation ◽  
Part Family ◽  
Machine Cell ◽  
Combined Algorithm

Machine cell formation and part family identification by combined algorithm

2020 ◽  
Vol 14 (3/4) ◽  
pp. 200
Author(s):  
M. Shunmugasundaram ◽  
R. Kamalakannan ◽  
V. Anbumalar ◽  
D. Maneiah
Keyword(s):  
Cell Formation ◽  
Part Family ◽  
Machine Cell ◽  
Combined Algorithm

Cell Formation and Part Family Identification by Using Traditional Methods

2016 ◽  
Vol 854 ◽  
pp. 121-126 ◽  
Author(s):  
M. Shunmuga Sundaram ◽  
V. Anbumalar ◽  
P. Anand ◽  
B. Aswinkumar
Keyword(s):  
Manufacturing Systems ◽  
Cellular Manufacturing ◽  
Rank Order ◽  
Cell Formation ◽  
Second Phase ◽  
Single Linkage ◽  
Part Family ◽  
Part Families ◽  
Machine Cell ◽  
Combined Algorithm

A Combined Algorithm is proposed to form the machine cell and part family identification in the cellular manufacturing system. In the first phase, part families identification, by using Rank Order Clustering (ROC) and Modified Single Linkage Clustering (MOD-SLC). In second phase, Machine cell formation, by using Rank Order Clustering (ROC) and Modified Single Linkage Clustering (MOD-SLC), which is to assign machines into machine cells to produce part families. The above Proposed method is tested by using standard problems and compared with other method results for the same standard problems. Grouping efficiency is one of the most widely used measures of quality for Cellular Manufacturing Systems.

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