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A Modified Hybrid Similarity Coefficient Based Method for Solving the Cell Formation Problem in Cellular Manufacturing System
This paper focuses on Cellular Manufacturing Systems (CMS) that is based on Group Technology (GT) concepts. Cell Formation (CF) is one of the important step in the design of CMS. The main objective of CF is to group machines and parts into cells. This paper proposes a new approach to obtain CF based...
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Main Authors: | , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This paper focuses on Cellular Manufacturing Systems (CMS) that is based on Group Technology (GT) concepts. Cell Formation (CF) is one of the important step in the design of CMS. The main objective of CF is to group machines and parts into cells. This paper proposes a new approach to obtain CF based on similarity coefficient considering similarities and dis-similarities in CMS. This approach overcomes many disadvantages inherent in some traditional approaches like Rank order clustering (ROC). Moreover a comparison between the proposed method and one of the well known traditional approaches ROC has been conducted. Percentage of Exceptional Elements (PEE), Machine Utilization (MU), Grouping Efficacy (GE) and Cell Efficiency (CE) are considered as performance measures. The results obtained are better than the results of ROC. A Java Programme is developed for Proposed method which will solve any size of CF problem within 5 seconds. |
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ISSN: | 2214-7853 2214-7853 |
DOI: | 10.1016/j.matpr.2017.01.169 |