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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.17 No.3
- 발행연도
- 2017.9
- 수록면
- 221 - 227 (7page)
- DOI
- 10.5391/IJFIS.2017.17.3.221
이용수
초록· 키워드
오류제보하기
This paper aims to propose a solution to the resource-constraint project scheduling problem (RCPSP). RCPSP is a significant scheduling problem in project management. Currently, there are insufficient studies dealing with the robustness of RCPSP. This paper improves the robustness of RCPSP and develops a Robust RCPSP, namely RRCSP. RRCSP is structured with relaxing a fundamental assumption that is ‘the tasks start on time as planned’. Relaxing this assumption makes the model more realistic. The proposed solution minimizes the makespan while maximizing the robustness. Maximizing the robustness requires maximizing floating time of activities (it is NP hard). This creates more stability in the project finishing time. RCPSP stands as the root cause of many other problems such as multi-mode resourceconstrained project scheduling problems (MRCPSP), multi-skill resource-constrained project scheduling problem (MSRCPSP), or similar problems and hence proposing a solution to this problem contributes to pave a new line for future research in other mentioned areas. The applicability of the proposed model is examined through a numerical example.
목차
Abstract
1. Introduction
2. Robustness Importance
3. Differential Evolution
4. The Model
5. Numerical Example
6. Conclusion
References
참고문헌 (13)
참고문헌 신청
C. Fang, R. Kolisch, L.Wang, and C. Mu, “An estimation of distribution algorithm and new computational results for the stochastic resource-constrained project scheduling problem,” Flexible Services and Manufacturing Journal, vol. 27, no. 4, pp. 585-605, 2015.
W. Ma, Y. Che, H. Huang, and H. Ke, “Resourceconstrained project scheduling problem with uncertain durations and renewable resources,” International Journal of Machine Learning and Cybernetics, vol. 7, no. 4, pp. 613-621, 2016.
M. A. Al-Fawzan and M. Haouari, “A bi-objective model for robust resource-constrained project scheduling,” International Journal of Production Economics, vol. 96, no. 2, pp. 175-187, 2005. https://doi.org/10.1016/j.ijpe.2004.04.002
C. Artigues, P. Michelon, and S. Reusser, “Insertion techniques for static and dynamic resource-constrained project scheduling,” European Journal of Operational Research, vol. 149, no. 2, pp. 249-267, 2003. https://doi.org/10.1016/S0377-2217(02)00758-0
M. R. Asadabadi, “A developed slope order index (SOI) for bottlenecks in projects and production lines,” Computational Management Science, vol. 14, no. 2, pp. 281-291, 2017.
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