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GVRP considered oil-gas recovery in refined oil distribution: From an environmental perspective

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  • Xu, Xiaofeng
  • Wang, Chenglong
  • Zhou, Peng

Abstract

Open loading-unloading mode of refined oil shipment will cause oil gas to escape, which not only refers to the environmental pollution but also economic losses. Therefore, closed mode with oil-gas recovery has attracted more attention. In this paper, oil-gas recovery is taken into account from an environmental perspective, incorporated into green vehicle routing problem (GVRP) in refined oil distribution. The main problem involves: I) depict the relationship between costs and benefits of oil-gas recovery, calculate the optimal rate of oil-gas recovery; II) compare the effect on loading-unloading speed in different modes, and confirm the adjusted impact on delivery time. Then, a multi-objective model for GVRP is built, and a NSGA-III algorithm with three layers coding is designed to solve the proposed problem. Finally, the numerical results show that NSGA-III algorithm performs better than others; oil-gas recovery efficiency will be higher with high environmental temperature. In addition, oil-gas recovery can also save delivery time, and the effect of joint optimization in refined oil distribution with oil-gas recovery is better than that of independent optimization.

Suggested Citation

  • Xu, Xiaofeng & Wang, Chenglong & Zhou, Peng, 2021. "GVRP considered oil-gas recovery in refined oil distribution: From an environmental perspective," International Journal of Production Economics, Elsevier, vol. 235(C).
    • Handle: RePEc:eee:proeco:v:235:y:2021:i:c:s0925527321000542
    DOI: 10.1016/j.ijpe.2021.108078
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    References listed on IDEAS

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    5. Songyi Wang & Fengming Tao & Yuhe Shi, 2018. "Optimization of Inventory Routing Problem in Refined Oil Logistics with the Perspective of Carbon Tax," Energies, MDPI, vol. 11(6), pages 1-17, June.
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