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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.16 No.3
- 발행연도
- 2017.9
- 수록면
- 288 - 306 (19page)
- DOI
- 10.7232/iems.2017.16.3.288
이용수
초록· 키워드
오류제보하기
A Multi-Skilled Project Scheduling Problem (MSPSP) that is an extension of a Multi-Mode Resource-Constrained Project Scheduling Problem (MM-RCPSP) has been generally addressed to schedule a project with staff members as resources. In MSPSP, each activity requires different specialties and each staff member has a known skill level in performing an activity. This causes to encounter a huge number of modes while performing activities of a project. This research focuses on a special type of MSPSP known as Multi-Objective Multi-Skilled Project Scheduling Problem (MOMSPSP) which incorporates some new objectives in the MSPSP and develops a multi-objective mixed-integer nonlinear programming (MINLP) model. The model is exactly solved for small-sized instances using CPLEX solver. To solve such a NP-hard problem for medium and large-sized instances, two efficient meta-heuristic algorithms based on Differential Evolution (DE) and Particle Swarm Optimization (PSO) are proposed. To evaluate the efficiency of the proposed algorithms, the results are compared with each other as well as to the optimal ones obtained by the CPLEX solver for small instances. Finally, the designed DE algorithm is identified as the superior proposed algorithm for solving the propounded MOMSPSP in terms of some performance metrics.
목차
ABSTRACT
1. INTRODUCTION
2. THE PROPOSED MATHEMATICAL MODEL FOR MOMSPSP
3. META-HEURISTIC SOLUTION ALGORITHMS
4. COMPUTATIONAL RESULTS
5. CONCLUSIONS
REFERENCES
참고문헌 (37)
참고문헌 신청
Al-Anzi, F. S., Al-Zame, K., and Allahverdi, A. (2010), Weighted multi-skill resources project scheduling, Journal of Software Engineering and Applications, 3(12), 1125.
Behnamian, J., Ghomi, S. F., and Zandieh, M. (2009), A multi-phase covering Pareto-optimal front method to multi-objective scheduling in a realistic hybrid flowshop using a hybrid metaheuristic, Expert Systems with Applications, 36(8), 11057-11069.
Bellenguez, O. and Neron, E. (2004), Lower bounds for the multi-skill project scheduling problem with hierarchical levels of skills, International Conference on the Practice and Theory of Automated Timetabling, Springer Berlin Heidelberg, 229-243.
Briand, C. (2009), A new any-order schedule generation scheme for resource-constrained project scheduling, RAIRO-Operations Research, 43(3), 297-308.
Coello, C. A. C., Lamont, G. B., and Van Veldhuizen, D. A. (2007), Evolutionary Algorithms For Solving Multi-Objective Problems 5, New York: Springer.
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