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Exact algorithms for the multi-pickup and delivery problem with time windows

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  • Aziez, Imadeddine
  • Côté, Jean-François
  • Coelho, Leandro C.

Abstract

In the multi-pickup and delivery problem with time windows (MPDPTW) a set of vehicles must be routed to satisfy a set of client requests between given origins and destinations. A request is composed of several pickups of different items, followed by a single delivery at the client location. This paper introduces two new formulations for the MPDPTW, the 2-index formulation, and the asymmetric representatives formulation. In addition, we also present an existing 3-index formulation for this problem and improve it by means of several preprocessing and valid inequalities. We solve the problem exactly via a branch-and-cut algorithm. We introduce several families of valid inequalities to strengthen the LP relaxations of the proposed formulations. Computational results are reported on different types of instances to firstly highlight the advantage of adding different families of valid inequalities then to compare the performance of the different formulations presented in this paper. While the heuristic and exact algorithms of the literature prove optimality for 16 instances containing up to 50 nodes, we prove optimality for 41 instances for cases containing up to 100 nodes from the existing benchmark set.

Suggested Citation

  • Aziez, Imadeddine & Côté, Jean-François & Coelho, Leandro C., 2020. "Exact algorithms for the multi-pickup and delivery problem with time windows," European Journal of Operational Research, Elsevier, vol. 284(3), pages 906-919.
    • Handle: RePEc:eee:ejores:v:284:y:2020:i:3:p:906-919
    DOI: 10.1016/j.ejor.2020.01.040
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    References listed on IDEAS

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    Cited by:

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    3. Dessouky, Maged M & Hu, Shichun, 2021. "Dynamic Routing for Ride-Sharing," Institute of Transportation Studies, Working Paper Series qt6qq8r7hz, Institute of Transportation Studies, UC Davis.
    4. Kohar, Amit & Jakhar, Suresh Kumar & Agarwal, Yogesh K., 2023. "Strong cutting planes for the capacitated multi-pickup and delivery problem with time windows," Transportation Research Part B: Methodological, Elsevier, vol. 176(C).
    5. Zhen, Lu & Baldacci, Roberto & Tan, Zheyi & Wang, Shuaian & Lyu, Junyan, 2022. "Scheduling heterogeneous delivery tasks on a mixed logistics platform," European Journal of Operational Research, Elsevier, vol. 298(2), pages 680-698.
    6. Arslan, A.M. & Agatz, N.A.H. & Srour, F.J., 2023. "Model Formulations for Pickup and Delivery Problems in Designated Driver Services," ERIM Report Series Research in Management ERS-2023-004-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    7. Qin Song, 2023. "Semi-Open Multi-Distribution Center Path Planning with Time Windows," Sustainability, MDPI, vol. 15(6), pages 1-14, March.

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