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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2003.5
- 수록면
- 376 - 381 (6page)
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This study is concerned with the machine-part grouping in cellular
manufacturing. To group machines into the set of machine cells and parts into the set of part families, new p-median model considering the production data such as the operation sequences and production volumes for parts is proposed. Unlike existing p-median models relying on the classical binary part-machine incidence matrix which
does not reflect the real production factors which seriously impact on machine-part grouping, the proposed p-median model reflects the production factors by adopting the new similarity coefficient based on the production data-based part-machine incidence matrix of which each non-binary entry indicates actual intra-cell or inter-cell
flows to or from machines by parts. Computation test compares the proposed p-median model favorably.
manufacturing. To group machines into the set of machine cells and parts into the set of part families, new p-median model considering the production data such as the operation sequences and production volumes for parts is proposed. Unlike existing p-median models relying on the classical binary part-machine incidence matrix which
does not reflect the real production factors which seriously impact on machine-part grouping, the proposed p-median model reflects the production factors by adopting the new similarity coefficient based on the production data-based part-machine incidence matrix of which each non-binary entry indicates actual intra-cell or inter-cell
flows to or from machines by parts. Computation test compares the proposed p-median model favorably.
목차
Abstract
1. Introduction
2. New similarity measure
3. Mathematical model
4. Performance measure
5. Computation experiment
6. Concluding remarks
References
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