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Petrol delivery tanker assignment and routing: a case study in Hong Kong

Author

Listed:
  • W L Ng

    (City University of Hong Kong)

  • S C H Leung

    (City University of Hong Kong)

  • J K P Lam

    (City University of Hong Kong)

  • S W Pan

    (City University of Hong Kong)

Abstract

In this paper, we present a case study on a tanker assignment and routing problem for petrol products in Hong Kong. A fleet of heterogeneous dangerous goods vehicles has been assigned to deliver several types of petroleum products to petrol stations with different tank capacities. Under the vendor-managed inventory system, the delivery company is responsible for controlling the station's inventory and replenishment. The operational characteristics and challenges such as geographic zoning, size of petrol stations, routing restrictions and so on are unique and have been described in this paper. A decision support system (DSS) combining heuristic clustering and optimal routing is employed to find the optimal fleet assignment and routing. Multiple objectives are considered simultaneously such that the number of tankers used could be minimized, the number of drops in trips is minimized, profit in terms of total products delivered is maximized and utilization of resources is maximized. The case illustrates the benefit and advantages of using the proposed DSS.

Suggested Citation

  • W L Ng & S C H Leung & J K P Lam & S W Pan, 2008. "Petrol delivery tanker assignment and routing: a case study in Hong Kong," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1191-1200, September.
    • Handle: RePEc:pal:jorsoc:v:59:y:2008:i:9:d:10.1057_palgrave.jors.2602464
    DOI: 10.1057/palgrave.jors.2602464
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    References listed on IDEAS

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    Cited by:

    1. Ostermeier, Manuel & Henke, Tino & Hübner, Alexander & Wäscher, Gerhard, 2021. "Multi-compartment vehicle routing problems: State-of-the-art, modeling framework and future directions," European Journal of Operational Research, Elsevier, vol. 292(3), pages 799-817.
    2. Cornillier, Fabien & Boctor, Fayez & Renaud, Jacques, 2012. "Heuristics for the multi-depot petrol station replenishment problem with time windows," European Journal of Operational Research, Elsevier, vol. 220(2), pages 361-369.
    3. Bani, Abderrahman & El Hallaoui, Issmail & Corréa, Ayoub Insa & Tahir, Adil, 2023. "Solving a real-world multi-depot multi-period petrol replenishment problem with complex loading constraints," European Journal of Operational Research, Elsevier, vol. 311(1), pages 154-172.
    4. Li, Kunpeng & Chen, Bin & Sivakumar, Appa Iyer & Wu, Yong, 2014. "An inventory–routing problem with the objective of travel time minimization," European Journal of Operational Research, Elsevier, vol. 236(3), pages 936-945.
    5. Pasquale Carotenuto & Stefano Giordani & Alessio Salvatore, 2024. "A Matheuristic Approach for the Multi-Depot Periodic Petrol Station Replenishment Problem," Mathematics, MDPI, vol. 12(3), pages 1-19, January.
    6. 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.
    7. Lobo, Benjamin J. & Brown, Donald E. & Gerber, Matthew S. & Grazaitis, Peter J., 2018. "A transient stochastic simulation–optimization model for operational fuel planning in-theater," European Journal of Operational Research, Elsevier, vol. 264(2), pages 637-652.
    8. Guilherme Baptista & Miguel Vieira & Telmo Pinto, 2024. "An Exact Approach to the Multi-Compartment Vehicle Routing Problem: The Case of a Fuel Distribution Company," Mathematics, MDPI, vol. 12(4), pages 1-14, February.
    9. Vasilii A. Gromov & Konstantin A. Kuznietzov & Timothy Pigden, 2019. "Decision support system for light petroleum products supply chain," Operational Research, Springer, vol. 19(1), pages 219-236, March.
    10. Hiba Yahyaoui & Islem Kaabachi & Saoussen Krichen & Abdulkader Dekdouk, 2020. "Two metaheuristic approaches for solving the multi-compartment vehicle routing problem," Operational Research, Springer, vol. 20(4), pages 2085-2108, December.

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