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Modified differential evolution and heuristic algorithms for dump tippler machine allocation in a typical sugar mill in Thailand

Author

Listed:
  • Chuleeporn Kusoncum

    (Khon Kaen University)

  • Kanchana Sethanan

    (University of Vienna)

  • Richard F. Hartl

    (Khon Kaen University)

  • Thitipong Jamrus

    (Khon Kaen University)

Abstract

This paper focuses on a computational tool for scheduling and sequencing sugarcane vehicles for dump tippler machines at the mill yard of a sugar mill, which can be represented as an NP-hard problem for parallel capacitated machines with machine restrictions, job grouping, and sequencing independent setup time. This research aims to determine the optimal sequencing of jobs, i.e. minimizing the makespan by considering machine restrictions, capacitated machines, group size, number of jobs, and the constraints of the sugar mill. In the considered problem machines alternatively operate, that distinguishes it from a general parallel machine problem. The mixed integer linear programing model is developed for solving the small-scale problem instances. Large-scale instances are handled by four heuristics, and four differential evolution (DE) metaheuristics. In order to improve the computational results, solution quality and computation time were considered. In addition, modified DE algorithms were used in encoding operation (initial solution), mutation and local search operation. The computational results revealed that the modified DE algorithms had higher relative improvement on the makespan. Furthermore, this decision-making support tool was implemented as a prototype in the sector of cane and sugar industry in Thailand and extended to other similar industries.

Suggested Citation

  • Chuleeporn Kusoncum & Kanchana Sethanan & Richard F. Hartl & Thitipong Jamrus, 2022. "Modified differential evolution and heuristic algorithms for dump tippler machine allocation in a typical sugar mill in Thailand," Operational Research, Springer, vol. 22(5), pages 5863-5895, November.
  • Handle: RePEc:spr:operea:v:22:y:2022:i:5:d:10.1007_s12351-020-00597-z
    DOI: 10.1007/s12351-020-00597-z
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    References listed on IDEAS

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    1. Iannoni, Ana Paula & Morabito, Reinaldo, 2006. "A discrete simulation analysis of a logistics supply system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(3), pages 191-210, May.
    2. Leung, Joseph Y.-T. & Li, Chung-Lun, 2008. "Scheduling with processing set restrictions: A survey," International Journal of Production Economics, Elsevier, vol. 116(2), pages 251-262, December.
    3. Mahmoud Masoud & Erhan Kozan & Geoff Kent, 2015. "Hybrid metaheuristic techniques for optimising sugarcane rail operations," International Journal of Production Research, Taylor & Francis Journals, vol. 53(9), pages 2569-2589, May.
    4. Nearchou, Andreas C., 2006. "Meta-heuristics from nature for the loop layout design problem," International Journal of Production Economics, Elsevier, vol. 101(2), pages 312-328, June.
    5. Jinwen Ou & Joseph Y.‐T. Leung & Chung‐Lun Li, 2008. "Scheduling parallel machines with inclusive processing set restrictions," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(4), pages 328-338, June.
    6. Potts, Chris N. & Kovalyov, Mikhail Y., 2000. "Scheduling with batching: A review," European Journal of Operational Research, Elsevier, vol. 120(2), pages 228-249, January.
    7. Martinez, S. & Dauzere-Peres, S. & Gueret, C. & Mati, Y. & Sauer, N., 2006. "Complexity of flowshop scheduling problems with a new blocking constraint," European Journal of Operational Research, Elsevier, vol. 169(3), pages 855-864, March.
    8. Darat Dechampai & Ladda Tanwanichkul & Kanchana Sethanan & Rapeepan Pitakaso, 2017. "A differential evolution algorithm for the capacitated VRP with flexibility of mixing pickup and delivery services and the maximum duration of a route in poultry industry," Journal of Intelligent Manufacturing, Springer, vol. 28(6), pages 1357-1376, August.
    9. Nait Tahar, Djamel & Yalaoui, Farouk & Chu, Chengbin & Amodeo, Lionel, 2006. "A linear programming approach for identical parallel machine scheduling with job splitting and sequence-dependent setup times," International Journal of Production Economics, Elsevier, vol. 99(1-2), pages 63-73, February.
    10. Scott Webster & Kenneth R. Baker, 1995. "Scheduling Groups of Jobs on a Single Machine," Operations Research, INFORMS, vol. 43(4), pages 692-703, August.
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    Cited by:

    1. Jing Zhou, 2023. "Airline capacity distribution under financial budget and resource consideration," Journal of Combinatorial Optimization, Springer, vol. 45(5), pages 1-29, July.

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