Abstract: 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.
M. Shunmugasundaram and V. Anbumalar, 2016. Design of Cellular Manufacturing System by Using New Similarity Coefficient Algorithm to Reduce Total Traveling Time. Asian Journal of Information Technology, 15: 1539-1546.