지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.16 No.3
- 발행연도
- 2017.9
- 수록면
- 307 - 315 (9page)
- DOI
- 10.7232/iems.2017.16.3.307
이용수
초록· 키워드
오류제보하기
In this paper a fully fuzzy resource constrained project scheduling model is presented in which activities durations and resource consumptions of activities are estimated by fuzzy numbers. To increase compatibility between presented model and real world situations, availability of resources are predicted using fuzzy numbers. Taking into account the concept of “fuzzy decision making in fuzzy environment” and regarding the fact that all parameters of the presented model are uncertain, fuzzy scheduling is considered for this problem in which activities start and finish times are calculated in form of triangular fuzzy numbers. Also, due to this fact that resource constrained project scheduling problems (RCPSPs) belong to the class of the NP-hard problems, a solution approach is developed using Ant Colony Optimization (ACO) algorithm. Regarding fuzzy nature of decision variables, some modifications are made to ACO to make it compatible with the presented fuzzy RCPS model. To illustrate flexibility of the developed model and efficiency of the presented solution approach, some numerical examples are provided.
목차
ABSTRACT
1. INTRODUCTION
2. CHENG’S FUZZY NUMBERS RANKING METHOD
3. FULLY FUZZY RESOURCE CONSTRAINED PROJECT SCHEDULING
4. FUZZY ANT COLONY OPTIMIZATION ALGORITHM
5. NUMERICAL EXAMPLES
6. CONCLUSION
REFERENCES
참고문헌 (36)
참고문헌 신청
Abdolshah, M. (2014), A review of resource-constrained project scheduling problems (RCPSP) approaches and solutions, Int. Trans. Journal of Engineering, Management, & Applied Sciences & Technologies, 5, 253-286.
Afruzi, E. N., Roghanian, E., Najafi, A. A., and Mazinani, M. (2013), A multi-mode resource-constrained discrete time-cost tradeoff problem solving using an adjusted fuzzy dominance genetic algorithm, Scientia Iranica, 20(3), 931-944.
Artigues, C., Demassey, S., and Neron, E. (Eds.) (2013), Resource-Constrained Project Scheduling: Models, Algorithms, Extensions and Applications, John Wiley & Sons.
Bhaskar, T., Pal, M. N., and Pal, A. K. (2011), A heuristic method for RCPSP with fuzzy activity times, European Journal of Operational Research, 208(1), 57- 66.
Brucker, P., Drexl, A., Mohring, R., Neumann, K., and Pesch, E. (1999), Invited Review; Resource-constrained project scheduling, notation, classification, models and methods, European Journal of Operational Research, 112(1), 3-41.
Bhaskar, T., Pal, M. N., and Pal, A. K. (2011), A heuristic method for RCPSP with fuzzy activity times, European Journal of Operational Research, 208(1), 57- 66.
Brucker, P., Drexl, A., Mohring, R., Neumann, K., and Pesch, E. (1999), Invited Review; Resource-constrained project scheduling, notation, classification, models and methods, European Journal of Operational Research, 112(1), 3-41.
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UCI(KEPA) : I410-ECN-0101-2018-530-001255172