Abstract
Abstract Over the past three decades considerable amount of research work has been reported in the literature of Group Technology (GT). Cellular Manufacturing System- an important application of Group Technology (GT) – has been recognized as an effective way to enhance the productivity in a factory. Cellular manufacturing is one of the most powerful management innovations in actualizing mass customization. Most of the research work is concerned with formation of machine cells and part families. This is because cell formation is considered to be the most complex and the most important aspect of Cellular Manufacturing System (CMS). Due to NP completeness of cell formation problem (CFP), many heuristics have been developed. In this paper, an integer programming model is constructed to design a cellular manufacturing system with independent cells. A genetic algorithm is developed to solve the cell design problem. The results from the investigations show that the genetic algorithm often finds better solutions than the exact algorithms.
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