TY  - JOUR
T1  - Design of Cellular Manufacturing System by Using New Similarity Coefficient Algorithm to Reduce Total Traveling Time
AU - Shunmugasundaram, M. AU - Anbumalar, V. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 10
SP  - 1539
EP  - 1546
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.1539.1546
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.1539.1546
KW  - Cell formation
KW  -power press industry
KW  -Proposed algorithm
KW  -CF method
KW  -India
AB  - Machine cell formation and part family classification are the most important steps in cellular manufacturing system. Cell Formation (CF) is a complicated process and there are numerous approaches for this purpose such as Array based clustering, agglomerative clustering, mathematical programming, graph partitioning and Nontraditional methods. A new similarity coefficient algorithm is proposed to form the machine cell and part families identification. This Proposed algorithm is tested by using standard problems and compared with other CF method results. The quality of the algorithm is measured by using Grouping efficiency and Grouping efficacy which are most widely used measures the superiority of Cellular Manufacturing Systems (CMS). The proposed algorithm is used to form a manufacturing cells in a power press industry to reducing total travelling time.
ER  -