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논문 기본 정보

자료유형
학술저널
저자정보
Tatsuya Fukushi (Tokyo Metropolitan University) Hisashi Yamamoto (Tokyo Metropolitan University) Atsushi Suzuki (Hirosaki University) Yasuhiro Tsujimura (Nippon Institute of Technology)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems 제8권 제1호
발행연도
2009.3
수록면
22 - 28 (7page)

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초록· 키워드

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We consider facility layout problems, where mn facility units are assigned into mn cells. These cells are arranged into a rectangular pattern with m rows and n columns. In order to solve this cell type facility layout problem, many approximation algorithms with improved local search methods were studied because it was quite difficult to find exact optimum of such problem in case of large size problem. In this paper, new algorithms based on Simulated Annealing (SA) method with two neighborhood generation methods are proposed. The new neighborhood generation method adopts the exchanging operation of facility units in accordance with adjacent preference. For evaluating the performance of the neighborhood generation method, three algorithms, previous SA algorithm with random 2-opt neighborhood generation method, the SA-based algorithm with the new neighborhood generation method (SA1) and the SA-based algorithm with probabilistic selection of random 2-opt and the new neighborhood generation method (SA2), are developed and compared by experiment of solving same example problem. In case of numeric examples with problem type 1 (the optimum layout is given), SA1 algorithm could find excellent layout than other algorithms. However, in case of problem type 2 (randomprepared and optimum-unknown problem), SA2 was excellent more than other algorithms.

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Abstract
1. INTRODUCTION
2. THE CELL TYPE FACILITY LAYOUT PROBL EM
3. THE PROPOSED ALGORITHM
4. EVALUATIION OF THE ALGORITHM
5. CONCLUSION
ACKNOWLEDGMENT
REFERENCES

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