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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.16 No.4
- 발행연도
- 2017.12
- 수록면
- 598 - 603 (6page)
- DOI
- 10.7232/iems.2017.16.4.598
이용수
초록· 키워드
오류제보하기
This paper studies the fixed charge transportation problem under uncertain environment, in which the capacities of sources, the direct costs, the fixed charges and the demands of destinations are not known with a precise manner. As a result, the transportation problem takes the form of fuzzy mixed-integer programming problem. In this paper, we propose a solution method based on the possibility approach. With this approach, the obtained transportation problem takes the form of a crisp mixed-integer linear programming problem and provides crisp values to different variables at different possibility levels. A numerical example with trapezoidal fuzzy parameters is given to demonstrate the effectiveness of the proposed method.
목차
ABSTRACT
1. INTRODUCTION
2. MATHEMATICAL FORMULATION OF FUZZY FCTP
3. POSSIBILITY APPROACH
5. NUMERICAL EXAMPLE
6. CONCLUSION
REFERENCES
참고문헌 (22)
참고문헌 신청
Bit, A. K., Biswal, M. P., and Alam, S. S. (1993), Fuzzy programming approach to multiobjective solid transportation problem, Fuzzy Sets and Systems, 57(2), 183-194.
Chanas, S. and Kuchta, D. (1996), A concept of the optimal solution of the transportation problem with fuzzy cost coefficients, Fuzzy Sets and Systems, 82(3), 299-305.
Chanas, S. and Machaj, A. (1984), A fuzzy approach to the transportation problem, Fuzzy Sets and Systems, 13(3), 211-221.
Charnes, A. and Cooper, W. W. (1959), Chance-constrained programming, Management Science, 6(1), 73-79.
Dinagar, D. S. and Palanivel, K. (2009), The transportation problem in fuzzy environment, International Journal of Algorithms, 2, 65-71.
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