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

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

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Article ID: iaor2005118
Country: United Kingdom
Volume: 42
Issue: 7
Start Page Number: 1419
End Page Number: 1441
Publication Date: Jan 2004
Journal: International Journal of Production Research
Authors: , ,
Keywords: programming: integer
Abstract:

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.

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