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Multi-product pickup and delivery supply chain design with location-routing and direct shipment

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  • Azizi, Vahid
  • Hu, Guiping

Abstract

This paper presents a decision making model that considers distribution centers locating, pickup and delivery vehicle routing, and direct shipment simultaneously. The goal is to optimize the distribution centers’ location, the delivery, pickup, and direct shipment routes so that the total costs are minimized. Two types of delivery modes are considered. In the first type, each vehicle loads the same type of products and in the second type, each vehicle is allowed to load multiple types of products. An integrated mixed integer linear programming model was formulated for each delivery type. Computational experiments were conducted to validate the models. Three solution methods: deterministic mode, opportunistic mode, and benders decomposition algorithm in CPLEX have been analyzed.

Suggested Citation

  • Azizi, Vahid & Hu, Guiping, 2020. "Multi-product pickup and delivery supply chain design with location-routing and direct shipment," International Journal of Production Economics, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:proeco:v:226:y:2020:i:c:s0925527320300475
    DOI: 10.1016/j.ijpe.2020.107648
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Noha A. Mostafa & Omar Eldebaiky, 2023. "A Sustainable Two-Echelon Logistics Model with Shipment Consolidation," Logistics, MDPI, vol. 7(1), pages 1-14, March.
    2. Pei-Ju Wu & Yu-Shan Lin, 2023. "Reducing waste and achieving sustainable food security through optimizing surplus-food collection and meal distribution," Annals of Operations Research, Springer, vol. 328(2), pages 1537-1555, September.
    3. Chen, Linlin & Han, Shuihua & Ye, Zhen & Xia, Senmao, 2023. "The optimisation of the location of front distribution centre: A spatio-temporal joint perspective," International Journal of Production Economics, Elsevier, vol. 263(C).
    4. Gu, Wenjuan & Archetti, Claudia & Cattaruzza, Diego & Ogier, Maxime & Semet, Frédéric & Speranza, M. Grazia, 2024. "Vehicle routing problems with multiple commodities: A survey," European Journal of Operational Research, Elsevier, vol. 317(1), pages 1-15.
    5. Changhee Yang & Yongjin Lee & Chulung Lee, 2025. "Data-Driven Order Consolidation with Vehicle Routing Optimization," Sustainability, MDPI, vol. 17(3), pages 1-29, January.
    6. Peng Ye & Bin Yu & Wenhong Chen & Kan Liu & Longzhen Ye, 2022. "Rainfall-induced landslide susceptibility mapping using machine learning algorithms and comparison of their performance in Hilly area of Fujian Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(2), pages 965-995, September.
    7. Omid Abdolazimi & Farzad Bahrami & Davood Shishebori & Majid Alimohammadi Ardakani, 2022. "A multi-objective closed-loop supply chain network design problem under parameter uncertainty: comparison of exact methods," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 10768-10802, September.
    8. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.

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