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Evolutionary resource assignment for workload-based production scheduling

Author

Listed:
  • Ilkyeong Moon

    (Seoul National University)

  • Sanghyup Lee

    (Hyundai Heavy Industries Co. LTD.)

  • Moonsoo Shin

    (Hanbat National University)

  • Kwangyeol Ryu

    (Pusan National University)

Abstract

In this paper, we propose an evolutionary method with a simulation model for scheduling jobs including operations specified in terms of workload rather than processing time. It is suggested that processing times should be determined according to the number of assigned resources rather than the workload. The simulation model is used to estimate the result of resource allocation in a time horizon based on preselected rules. The evolutionary methods improve a production schedule in terms of compliance with due dates by selecting an alternative resource allocation rule and changing timing constraints. The results of computational experiments show that compliance with due dates improved by as much as 30 % under the modified production schedule over the initial schedule.

Suggested Citation

  • Ilkyeong Moon & Sanghyup Lee & Moonsoo Shin & Kwangyeol Ryu, 2016. "Evolutionary resource assignment for workload-based production scheduling," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 375-388, April.
    • Handle: RePEc:spr:joinma:v:27:y:2016:i:2:d:10.1007_s10845-014-0870-2
    DOI: 10.1007/s10845-014-0870-2
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    References listed on IDEAS

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    1. Lova, Antonio & Tormos, Pilar & Cervantes, Mariamar & Barber, Federico, 2009. "An efficient hybrid genetic algorithm for scheduling projects with resource constraints and multiple execution modes," International Journal of Production Economics, Elsevier, vol. 117(2), pages 302-316, February.
    2. Sönke Hartmann, 2001. "Project Scheduling with Multiple Modes: A Genetic Algorithm," Annals of Operations Research, Springer, vol. 102(1), pages 111-135, February.
    3. M. Calhoun, Kevin & Deckro, Richard F. & Moore, James T. & Chrissis, James W. & Van Hove, John C., 2002. "Planning and re-planning in project and production scheduling," Omega, Elsevier, vol. 30(3), pages 155-170, June.
    4. K H Kim & M J Lee, 2007. "Scheduling trucks in local depots for door-to-door delivery services," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(9), pages 1195-1202, September.
    5. Tseng, Lin-Yu & Chen, Shih-Chieh, 2006. "A hybrid metaheuristic for the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 175(2), pages 707-721, December.
    6. Stephen C. Graves, 1981. "A Review of Production Scheduling," Operations Research, INFORMS, vol. 29(4), pages 646-675, August.
    7. Sexton, Randall S. & Alidaee, Bahram & Dorsey, Robert E. & Johnson, John D., 1998. "Global optimization for artificial neural networks: A tabu search application," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 570-584, April.
    8. Coelho, José & Vanhoucke, Mario, 2011. "Multi-mode resource-constrained project scheduling using RCPSP and SAT solvers," European Journal of Operational Research, Elsevier, vol. 213(1), pages 73-82, August.
    9. Gendreau, Michel & Laporte, Gilbert & Semet, Frederic, 1998. "A tabu search heuristic for the undirected selective travelling salesman problem," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 539-545, April.
    10. Bouleimen, K. & Lecocq, H., 2003. "A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version," European Journal of Operational Research, Elsevier, vol. 149(2), pages 268-281, September.
    11. Debels, Dieter & De Reyck, Bert & Leus, Roel & Vanhoucke, Mario, 2006. "A hybrid scatter search/electromagnetism meta-heuristic for project scheduling," European Journal of Operational Research, Elsevier, vol. 169(2), pages 638-653, March.
    12. Xu, J. & Xu, X. & Xie, S.Q., 2011. "Recent developments in Dual Resource Constrained (DRC) system research," European Journal of Operational Research, Elsevier, vol. 215(2), pages 309-318, December.
    13. 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.
    14. Boctor, Fayez F., 1996. "A new and efficient heuristic for scheduling projects with resource restrictions and multiple execution modes," European Journal of Operational Research, Elsevier, vol. 90(2), pages 349-361, April.
    15. 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.
    16. Yang, Taho & Kuo, Yiyo & Cho, Chiwoon, 2007. "A genetic algorithms simulation approach for the multi-attribute combinatorial dispatching decision problem," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1859-1873, February.
    17. Kenneth N. McKay & Frank R. Safayeni & John A. Buzacott, 1988. "Job-Shop Scheduling Theory: What Is Relevant?," Interfaces, INFORMS, vol. 18(4), pages 84-90, August.
    18. Lee, Jae Kyu & Lee, Kyoung Jun & Park, Hung Kook & Hong, June Seok & Lee, Jung Seung, 1997. "Developing scheduling systems for Daewoo Shipbuilding: DAS project," European Journal of Operational Research, Elsevier, vol. 97(2), pages 380-395, March.
    19. R. A. Dudek & S. S. Panwalkar & M. L. Smith, 1992. "The Lessons of Flowshop Scheduling Research," Operations Research, INFORMS, vol. 40(1), pages 7-13, February.
    20. Costamagna, Eugenio & Fanni, Alessandra & Giacinto, Giorgio, 1998. "A Tabu Search algorithm for the optimisation of telecommunication networks," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 357-372, April.
    21. Grabowski, Jøzef & Pempera, Jaroslaw, 2007. "The permutation flow shop problem with blocking. A tabu search approach," Omega, Elsevier, vol. 35(3), pages 302-311, June.
    22. Kolisch, Rainer & Hartmann, Sonke, 2006. "Experimental investigation of heuristics for resource-constrained project scheduling: An update," European Journal of Operational Research, Elsevier, vol. 174(1), pages 23-37, October.
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