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Integrated production scheduling and vehicle routing problem with job splitting and delivery time windows

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  • Liang-Liang Fu
  • Mohamed Ali Aloulou
  • Chefi Triki

Abstract

In this paper, we study a production scheduling and vehicle routing problem with job splitting and delivery time windows in a company working in the metal packaging industry. In this problem, a set of jobs has to be processed on unrelated parallel machines with job splitting and sequence-dependent setup time (cost). Then the finished products are delivered in batches to several customers with heterogeneous vehicles, subject to delivery time windows. The objective of production is to minimize the total setup cost and the objective of distribution is to minimize the transportation cost. We propose mathematical models for decentralized scheduling problems, where a production schedule and a distribution plan are built consecutively. We develop a two-phase iterative heuristic to solve the integrated scheduling problem. We evaluate the benefits of coordination through numerical experiments.

Suggested Citation

  • Liang-Liang Fu & Mohamed Ali Aloulou & Chefi Triki, 2017. "Integrated production scheduling and vehicle routing problem with job splitting and delivery time windows," International Journal of Production Research, Taylor & Francis Journals, vol. 55(20), pages 5942-5957, October.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:20:p:5942-5957
    DOI: 10.1080/00207543.2017.1308572
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    Cited by:

    1. Alexis Robbes & Yannick Kergosien & Virginie André & Jean-Charles Billaut, 2022. "Efficient heuristics to minimize the total tardiness of chemotherapy drug production and delivery," Flexible Services and Manufacturing Journal, Springer, vol. 34(3), pages 785-820, September.
    2. Wenzhu Liao & Tong Wang, 2019. "A Novel Collaborative Optimization Model for Job Shop Production–Delivery Considering Time Window and Carbon Emission," Sustainability, MDPI, vol. 11(10), pages 1-27, May.
    3. Hongmin Li & Woonghee T. Huh & Matheus C. Sampaio & Naiping Keng, 2021. "Planning Production and Equipment Qualification under High Process Flexibility," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3369-3390, October.
    4. Nasr Al-Hinai & Chefi Triki, 2020. "A two-level evolutionary algorithm for solving the petrol station replenishment problem with periodicity constraints and service choice," Annals of Operations Research, Springer, vol. 286(1), pages 325-350, March.
    5. Berghman, Lotte & Kergosien, Yannick & Billaut, Jean-Charles, 2023. "A review on integrated scheduling and outbound vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 311(1), pages 1-23.
    6. Yi Zhang & Guowei Hua & T. C. E. Cheng & Juliang Zhang, 2020. "Cold chain distribution: How to deal with node and arc time windows?," Annals of Operations Research, Springer, vol. 291(1), pages 1127-1151, August.
    7. Rui Xu & Yumiao Huang & Wei Xiao, 2023. "A Two-Level Variable Neighborhood Descent for a Split Delivery Clustered Vehicle Routing Problem with Soft Cluster Conflicts and Customer-Related Costs," Sustainability, MDPI, vol. 15(9), pages 1-22, May.

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