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DVRP with limited supply and variable neighborhood region in refined oil distribution

Author

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  • Xiaofeng Xu

    (China University of Petroleum)

  • Ziru Lin

    (China University of Petroleum)

  • Jing Zhu

    (Southwestern University of Finance and Economics)

Abstract

Limited supply can be an emergent issue in refined oil distribution, which may increase operating cost and decrease gasoline station satisfaction with shortage. Hence, how to devise an optimal distribution scheme is the central problem for oil distribution companies. The main problem with limited supply involves: (I) depicting the dynamic efforts on vehicle routing driven by the demand and priority of gasoline stations, and (II) incorporating the efforts into variable distribution region division associated with oil depots. In this paper, we propose a multi-objective optimization model for dynamic vehicle routing problem with limited supply in oil distribution with variable neighborhood region. First, a preliminary multi-stage model for dynamic vehicle routing problem is designed, which takes operating cost, gasoline station satisfaction and priority into consider in the setting of limited supply. Based on the preliminary model, a variable neighborhood region division model is presented for oil depot supply and tanker delivery, in light of Fuzzy C-means algorithm and justifiable granularity principle. Finally, the experimental results show that the dynamic vehicle programming model with variable neighborhood performs better than other comparable scenarios at cost savings and satisfaction improvement.

Suggested Citation

  • Xiaofeng Xu & Ziru Lin & Jing Zhu, 2022. "DVRP with limited supply and variable neighborhood region in refined oil distribution," Annals of Operations Research, Springer, vol. 309(2), pages 663-687, February.
    • Handle: RePEc:spr:annopr:v:309:y:2022:i:2:d:10.1007_s10479-020-03780-9
    DOI: 10.1007/s10479-020-03780-9
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    References listed on IDEAS

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    1. Relvas, Susana & Boschetto Magatão, Suelen N. & Barbosa-Póvoa, Ana Paula F.D. & Neves, Flávio, 2013. "Integrated scheduling and inventory management of an oil products distribution system," Omega, Elsevier, vol. 41(6), pages 955-968.
    2. Pillac, Victor & Gendreau, Michel & Guéret, Christelle & Medaglia, Andrés L., 2013. "A review of dynamic vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 225(1), pages 1-11.
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    Cited by:

    1. Yunqi Jiang & Huaqing Zhang & Kai Zhang & Jian Wang & Shiti Cui & Jianfa Han & Liming Zhang & Jun Yao, 2022. "Reservoir Characterization and Productivity Forecast Based on Knowledge Interaction Neural Network," Mathematics, MDPI, vol. 10(9), pages 1-22, May.

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