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Meta-heuristic Solution with Considering Setup Time for Multi-Skilled Project Scheduling Problem

Author

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  • Behrad Barghi

    (Sharif University of Technology)

  • Shahram Shadrokh Sikari

    (Sharif University of Technology)

Abstract

The authors consider the Multi-Skilled Project Scheduling Problem (MSPSP) as a version of the Multi-mode Resource-Constrained Project Scheduling Problem (MRCPSP), which extends the well-known NP-hard Resource-Constrained Project Scheduling Problem (RCPSP). In the MSPSP, it is made up of activities, which require specific skills to be done. Moreover, resources are staff members who master fixed skill(s). Thus, each resource requirement of an activity corresponds to the number of persons doing the corresponding skill that must be assigned to the activity during its whole processing time. The authors focus on taking into account the setup times when performing work, depending on the appointment of a worker with the individual skill. The authors propose an integer linear programming model for solving the problem, in which minimization of the project makespan according to the setup time is considered. Genetic(GA) and Simulated Annealing(SA) metaheuristic algorithms were developed for solving that problem. For verification of the model, CPLEX software was used. The calculation results showed that with regard to the selected parameters for each algorithm, both of the proposed algorithms had relatively similar performance.

Suggested Citation

  • Behrad Barghi & Shahram Shadrokh Sikari, 2022. "Meta-heuristic Solution with Considering Setup Time for Multi-Skilled Project Scheduling Problem," SN Operations Research Forum, Springer, vol. 3(1), pages 1-23, March.
    • Handle: RePEc:spr:snopef:v:3:y:2022:i:1:d:10.1007_s43069-021-00117-5
    DOI: 10.1007/s43069-021-00117-5
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    References listed on IDEAS

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    1. Mika, Marek & Waligora, Grzegorz & Weglarz, Jan, 2008. "Tabu search for multi-mode resource-constrained project scheduling with schedule-dependent setup times," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1238-1250, June.
    2. Van Peteghem, Vincent & Vanhoucke, Mario, 2014. "An experimental investigation of metaheuristics for the multi-mode resource-constrained project scheduling problem on new dataset instances," European Journal of Operational Research, Elsevier, vol. 235(1), pages 62-72.
    3. F. Brian Talbot, 1982. "Resource-Constrained Project Scheduling with Time-Resource Tradeoffs: The Nonpreemptive Case," Management Science, INFORMS, vol. 28(10), pages 1197-1210, October.
    4. Salim Rostami & Stefan Creemers & Roel Leus, 2017. "New strategies for stochastic resource-constrained project scheduling," Post-Print hal-01745268, HAL.
    5. Kolisch, Rainer, 1996. "Serial and parallel resource-constrained project scheduling methods revisited: Theory and computation," European Journal of Operational Research, Elsevier, vol. 90(2), pages 320-333, April.
    6. Zaraket, Fadi A. & Olleik, Majd & Yassine, Ali A., 2014. "Skill-based framework for optimal software project selection and resource allocation," European Journal of Operational Research, Elsevier, vol. 234(1), pages 308-318.
    7. Brucker, Peter & Drexl, Andreas & Mohring, Rolf & Neumann, Klaus & Pesch, Erwin, 1999. "Resource-constrained project scheduling: Notation, classification, models, and methods," European Journal of Operational Research, Elsevier, vol. 112(1), pages 3-41, January.
    8. Sprecher, Arno & Drexl, Andreas, 1998. "Multi-mode resource-constrained project scheduling by a simple, general and powerful sequencing algorithm," European Journal of Operational Research, Elsevier, vol. 107(2), pages 431-450, June.
    9. Chambari, Amirhossain & Najafi, Amir Abbas & Rahmati, Seyed Habib A. & Karimi, Aida, 2013. "An efficient simulated annealing algorithm for the redundancy allocation problem with a choice of redundancy strategies," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 158-164.
    10. Walter Gutjahr & Stefan Katzensteiner & Peter Reiter & Christian Stummer & Michaela Denk, 2008. "Competence-driven project portfolio selection, scheduling and staff assignment," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 16(3), pages 281-306, September.
    11. V. Van Peteghem & M. Vanhoucke, 2009. "An Artificial Immune System for the Multi-Mode Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/555, Ghent University, Faculty of Economics and Business Administration.
    12. Guidong Zhu & Jonathan F. Bard & Gang Yu, 2006. "A Branch-and-Cut Procedure for the Multimode Resource-Constrained Project-Scheduling Problem," INFORMS Journal on Computing, INFORMS, vol. 18(3), pages 377-390, August.
    13. Néron, Emmanuel & Baptiste, Philippe & Gupta, Jatinder N. D., 2001. "Solving hybrid flow shop problem using energetic reasoning and global operations," Omega, Elsevier, vol. 29(6), pages 501-511, December.
    14. Zhiping Zuo & Yanhui Li & Jing Fu & Jianlin Wu, 2019. "Human Resource Scheduling Model and Algorithm with Time Windows and Multi-Skill Constraints," Mathematics, MDPI, vol. 7(7), pages 1-18, July.
    15. Schnell, Alexander & Hartl, Richard F., 2017. "On the generalization of constraint programming and boolean satisfiability solving techniques to schedule a resource-constrained project consisting of multi-mode jobs," Operations Research Perspectives, Elsevier, vol. 4(C), pages 1-11.
    16. Peteghem, Vincent Van & Vanhoucke, Mario, 2010. "A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 201(2), pages 409-418, March.
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