期刊
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
卷 235, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.ijpe.2021.108078
关键词
Oil-gas recovery; GVRP; Multi-objective optimization; Environmental logistics
资金
- National Natural Science Foundation of China [71871222]
- Philosophy and Social Sciences Young Scholars Support Project of China University of Petroleum [20CX05002B]
The study reveals the crucial significance of oil-gas recovery in refined oil distribution, which can reduce environmental pollution and economic losses while improving efficiency. Therefore, conducting oil-gas recovery in closed mode is necessary, and the related research and algorithm design both have a positive impact on GVRP.
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.
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