  This paper presents a new hybrid Fuzzy-ART based K-Means Clustering technique
to solve the part machine grouping problem in cellular manufacturing systems
considering operational time. The performance of the proposed technique is
tested with problems from open literature and the results are compared to the
existing clustering models such as simple K-means algorithm and modified ART1
algorithm using an efficient modified performance measure known as modified
grouping efficiency (MGE) as found in the literature. The results support the
better performance of the proposed algorithm. The Novelty of this study lies in
the simple and efficient methodology to produce quick solutions for shop floor
managers with least computational efforts and time.
