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논문 기본 정보

자료유형
학술저널
저자정보
Kamran Mehrdoust Shahrestani (Payame Noor University) Parviz Fattahi (Boo Ali Sina University) Maryam Hamedi (Payame Noor University)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.16 No.2
발행연도
2017.6
수록면
265 - 270 (6page)
DOI
10.7232/iems.2017.16.2.265

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초록· 키워드

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Hybrid flow shop problems are the most widely used in scheduling problems. A two-stage hybrid flow shop can be considered as part of a larger problem we have studied the scheduling of a two-stage hybrid flow shop problem which contains one machine at the first stage and two machines at the second stage with two objectives, the average flow time ( F ) and the average tardiness ( T ). In this paper a heuristic method has been introduced and it has been compared to a multi-objective decision making (lexicography) using simulated annealing (SA) Algorithm on both objective. Eventually, obtained solutions have been solved by simple additive weighting (SAW) method. The weight of criteria have been obtained based on the Shannon Entropy. The result indicated that the proposed heuristic method solution in 90.4% problems has led to better than solutions based on SA Algorithm. The solutions obtained out of 500 problems in heuristic method is 15.04% better than the solutions obtained according to SA Algorithm. And also in heuristic method, the obtained solutions were 58 times faster than SA Algorithm method.

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ABSTRACT
1. INTRODUCTION
2. THE LITERATURE REVIEW
3. METHODOLOGY
4. VALIDITY
5. CONCLUSION
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