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Asynchronous optimization of part logistics routing problem

Author

Listed:
  • Yaoting Huang

    (Fudan University)

  • Boyu Chen

    (Fudan University)

  • Wenlian Lu

    (Fudan University
    Fudan University
    Fudan University
    Fudan University)

  • Zhong-Xiao Jin

    (SAIC Motor Corporation Limited, Artificial Intelligence Laboratory
    SAIC Intelligent Technology (Shanghai) Corporation Limited)

  • Ren Zheng

    (SAIC Motor Corporation Limited, Artificial Intelligence Laboratory
    SAIC Intelligent Technology (Shanghai) Corporation Limited)

Abstract

The solution to the capacitated vehicle routing problem (CVRP) is vital for optimizing logistics. However, the transformation of real-world logistics problems into the CVRP involves diverse constraints, interactions between various routes, and a balance between optimization performance and computation load. In this study, we propose a systematic model originating from the part logistic routing problem (PLRP), which is a two-dimensional loading capacitated pickup-and-delivery problem that considers time windows, multiple uses of vehicles, queuing, transit, and heterogeneous vehicles. The newly introduced queuing and transit complicate the problem, and to the best of our knowledge, it cannot be solved using existing methods or the standard commercial optimizer. Hence, this problem has caused the existing research to develop, generalize, and extend into the two-dimensional CVRP (2L-CVRP). To solve this problem, we provide a framework that decouples the combination of 2L-CVRP and global optimization engineering and derives an efficient and realistic solver that integrates diverse types of intelligent algorithms. These algorithms include: (1) a heuristic algorithm for initializing feasible solutions by imitating manual planning, (2) asynchronous simulated annealing (SA) and Tabu search (TS) algorithms to accelerate the optimization of global routes based on novel bundling mechanics, (3) dynamic programming for routing, (4) heuristic algorithms for packing, (5) simulators to review associated time-related constraints, and (6) truck-saving processes to promote the optimal solution and reduce the number of trucks. Moreover, the performances of the SA and TS solver algorithms are compared in terms of various size scales of data to obtain an empirical recommendation for selection. The proposed model successfully established an intelligent management system that can provide systematic solutions for logistics planning, resulting in higher performance and lower costs compared to that of manual planning.

Suggested Citation

  • Yaoting Huang & Boyu Chen & Wenlian Lu & Zhong-Xiao Jin & Ren Zheng, 2022. "Asynchronous optimization of part logistics routing problem," Journal of Global Optimization, Springer, vol. 82(4), pages 803-834, April.
    • Handle: RePEc:spr:jglopt:v:82:y:2022:i:4:d:10.1007_s10898-021-01078-z
    DOI: 10.1007/s10898-021-01078-z
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    References listed on IDEAS

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    1. Lodi, Andrea & Martello, Silvano & Monaci, Michele, 2002. "Two-dimensional packing problems: A survey," European Journal of Operational Research, Elsevier, vol. 141(2), pages 241-252, September.
    2. Wei, Lijun & Zhang, Zhenzhen & Zhang, Defu & Leung, Stephen C.H., 2018. "A simulated annealing algorithm for the capacitated vehicle routing problem with two-dimensional loading constraints," European Journal of Operational Research, Elsevier, vol. 265(3), pages 843-859.
    3. Imen Harbaoui Dridi & Essia Ben Alaïa & Pierre Borne & Hanen Bouchriha, 2020. "Optimisation of the multi-depots pick-up and delivery problems with time windows and multi-vehicles using PSO algorithm," International Journal of Production Research, Taylor & Francis Journals, vol. 58(14), pages 4201-4214, July.
    4. Martin Desrochers & Jacques Desrosiers & Marius Solomon, 1992. "A New Optimization Algorithm for the Vehicle Routing Problem with Time Windows," Operations Research, INFORMS, vol. 40(2), pages 342-354, April.
    5. Mahdi Alinaghian & Komail Zamanlou & Mohammad S. Sabbagh, 2017. "A bi-objective mathematical model for two-dimensional loading time-dependent vehicle routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1422-1441, November.
    6. Henriette Koch & Maximilian Schlögell & Andreas Bortfeldt, 2020. "A hybrid algorithm for the vehicle routing problem with three-dimensional loading constraints and mixed backhauls," Journal of Scheduling, Springer, vol. 23(1), pages 71-93, February.
    7. Manuel Iori & Juan-José Salazar-González & Daniele Vigo, 2007. "An Exact Approach for the Vehicle Routing Problem with Two-Dimensional Loading Constraints," Transportation Science, INFORMS, vol. 41(2), pages 253-264, May.
    8. Angelelli, Enrico & Grazia Speranza, Maria, 2002. "The periodic vehicle routing problem with intermediate facilities," European Journal of Operational Research, Elsevier, vol. 137(2), pages 233-247, March.
    9. Farshad Majzoubi & Lihui Bai & Sunderesh S. Heragu, 2021. "The EMS vehicle patient transportation problem during a demand surge," Journal of Global Optimization, Springer, vol. 79(4), pages 989-1006, April.
    10. Éric Taillard & Philippe Badeau & Michel Gendreau & François Guertin & Jean-Yves Potvin, 1997. "A Tabu Search Heuristic for the Vehicle Routing Problem with Soft Time Windows," Transportation Science, INFORMS, vol. 31(2), pages 170-186, May.
    11. S. P. Anbuudayasankar & K. Ganesh & Sanjay Mohapatra, 2014. "Models for Practical Routing Problems in Logistics," Springer Books, Springer, edition 127, number 978-3-319-05035-5, December.
    12. Puca Huachi Vaz Penna & Anand Subramanian & Luiz Satoru Ochi & Thibaut Vidal & Christian Prins, 2019. "A hybrid heuristic for a broad class of vehicle routing problems with heterogeneous fleet," Annals of Operations Research, Springer, vol. 273(1), pages 5-74, February.
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