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This paper presents a new hybrid Fuzzy-ART based K-Means Clustering techniqueto solve the part machine grouping problem in cellular manufacturing systemsconsidering operational time. The performance of the proposed technique istested with problems from open literature and the results are compared to theexisting clustering models such as simple K-means algorithm and modified ART1algorithm using an efficient modified performance measure known as modifiedgrouping efficiency (MGE) as found in the literature. The results support thebetter performance of the proposed algorithm. The Novelty of this study lies inthe simple and efficient methodology to produce quick solutions for shop floormanagers with least computational efforts and time.

Hybrid Fuzzy-ART based K-Means Clustering Methodology to Cellular Manufacturing Using Operational Time