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A multi-objective genetic algorithm approach to the design of cellular manufacturing systems

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In this paper, a multi-objective integer programming model is constructed for the design of cellular manufacturing systems with independent cells. A genetic algorithm with multiple fitness functions is proposed to solve the formulated problem. The proposed algorithm finds multiple solutions along the Pareto optimal frontier. There are some features that make the proposed algorithm different from other algorithms used in the design of cellular manufacturing systems. These include: (1) a systematic uniform design-based technique, used to determine the search directions, and (2) searching the solution space in multiple directions instead of single direction. Four problems are selected from the literature to evaluate the performance of the proposed approach. The results validate the effectiveness of the proposed method in designing the manufacturing cells.

Document Type: Research Article


Affiliations: 1: Mechanical Engineering Group, Faculty of Engineering Urmia University Urmia West Azerbaijan Province IRAN 2: Director, Indian Institute of Technology Roorkee Roorkee-247 667 Uttaranchal INDIA 3: Department of Management Studies Indian Institute of Technology Delhi New Delhi- 110 016 INDIA

Publication date: April 1, 2004

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