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Metaheuristic approaches to a vehicle scheduling problem in sugar beet transportation

Author

Listed:
  • Ana Anokić
  • Zorica Stanimirović

    (University of Belgrade)

  • Đorđe Stakić

    (University of Belgrade)

  • Tatjana Davidović

    (Mathematical Institute of the Serbian Academy of Science and Arts)

Abstract

A variant of vehicle scheduling problem (VSP) arising from the sugar beet transportation in a sugar factory in Serbia is introduced. The objective of the considered VSP is to minimize the required transportation time under problem-specific constraints. The problem is formulated as a mixed integer linear program (MILP). Within the framework of commercial CPLEX solver the proposed MILP model was able to produce optimal solutions for small size problem instances. Therefore, two metaheuristic methods, variable neighborhood search (VNS) and greedy randomized adaptive search procedure (GRASP), are designed to solve problem instances of larger dimensions. The proposed GRASP and VNS are evaluated and compared against CPLEX and each other on the set of real-life and generated problem instances. Computational results show that VNS is superior method with respect to the solution quality, while GRASP is able to find high quality solutions within very short running times.

Suggested Citation

  • Ana Anokić & Zorica Stanimirović & Đorđe Stakić & Tatjana Davidović, 2021. "Metaheuristic approaches to a vehicle scheduling problem in sugar beet transportation," Operational Research, Springer, vol. 21(3), pages 2021-2053, September.
    • Handle: RePEc:spr:operea:v:21:y:2021:i:3:d:10.1007_s12351-019-00495-z
    DOI: 10.1007/s12351-019-00495-z
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    References listed on IDEAS

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    1. Mauricio G. C. Resende & Celso C. Ribeiro, 2014. "GRASP: Greedy Randomized Adaptive Search Procedures," Springer Books, in: Edmund K. Burke & Graham Kendall (ed.), Search Methodologies, edition 2, chapter 0, pages 287-312, Springer.
    2. Marcelo Prais & Celso C. Ribeiro, 2000. "Reactive GRASP: An Application to a Matrix Decomposition Problem in TDMA Traffic Assignment," INFORMS Journal on Computing, INFORMS, vol. 12(3), pages 164-176, August.
    3. Hansen, Pierre & Mladenovic, Nenad, 2001. "Variable neighborhood search: Principles and applications," European Journal of Operational Research, Elsevier, vol. 130(3), pages 449-467, May.
    4. Higgins, Andrew, 2006. "Scheduling of road vehicles in sugarcane transport: A case study at an Australian sugar mill," European Journal of Operational Research, Elsevier, vol. 170(3), pages 987-1000, May.
    5. Lopez Milan, Esteban & Miquel Fernandez, Silvia & Pla Aragones, Lluis Miquel, 2006. "Sugar cane transportation in Cuba, a case study," European Journal of Operational Research, Elsevier, vol. 174(1), pages 374-386, October.
    6. G. B. Dantzig & D. R. Fulkerson, 1954. "Minimizing the number of tankers to meet a fixed schedule," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 1(3), pages 217-222, September.
    7. Pierre Hansen & Nenad Mladenović & José Moreno Pérez, 2010. "Variable neighbourhood search: methods and applications," Annals of Operations Research, Springer, vol. 175(1), pages 367-407, March.
    8. Mauricio G. C. Resende & Celso C. Ribeiro, 2019. "Greedy Randomized Adaptive Search Procedures: Advances and Extensions," International Series in Operations Research & Management Science, in: Michel Gendreau & Jean-Yves Potvin (ed.), Handbook of Metaheuristics, edition 3, chapter 0, pages 169-220, Springer.
    9. George Kontoravdis & Jonathan F. Bard, 1995. "A GRASP for the Vehicle Routing Problem with Time Windows," INFORMS Journal on Computing, INFORMS, vol. 7(1), pages 10-23, February.
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