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논문 기본 정보

자료유형
학술저널
저자정보
Sungyoul Lee (Kwandong University)
저널정보
한국산업정보학회 한국산업정보학회논문지 한국산업정보학회논문지 제16권 제4호
발행연도
2011.12
수록면
119 - 125 (7page)

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초록· 키워드

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The part family (PF) formation in a cellular manufacturing has been a key issue for the successful implementation of Group Technology (GT). Basically, a part has two different attributes; i.e., design and manufacturing. The respective similarity in both attributes is often conflicting each other. However, the two attributes should be taken into account appropriately in order for the PF to maximize the benefits of the GT implementation. This paper proposes a clustering algorithm which considers the two attributes simultaneously based on pareto optimal theory. The similarity in each attribute can be represented as two individual objective functions. Then, the resulting two objective functions are properly combined into a pareto fitness function which assigns a single fitness value to each solution based on the two objective functions. A GA is used to find the pareto optimal set of solutions based on the fitness function. A set of hypothetical parts are grouped using the proposed system. The results show that the proposed system is very promising in clustering with multiple objectives.

목차

Abstract
1. Introduction
2. Genetic Algorithm
3. Numerical Illustration
4. Conclusions
References

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UCI(KEPA) : I410-ECN-0101-2014-004-001139483