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Research on Refined Oil Distribution Strategy and Oil Gas Recovery Joint Optimization

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Proceedings of the Seventh International Forum on Decision Sciences

Part of the book series: Uncertainty and Operations Research ((UOR))

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Abstract

There are many times of loading and unloading processes in the refined oil distribution network, and during each process of loading and unloading a large amount of refined oil gas is generated. These gases not only pollute the environment but also cause unnecessary loss of refined oil and cause huge economic losses. Therefore, in this paper the joint optimization of refined oil distribution strategy and refined oil gas recovery strategy is considered from the perspective of refined oil recovery, based on environmental protection requirements. A three-objective model with the lowest distribution cost, the shortest cumulative delivery time, and the highest satisfaction with delivery services is established, solved by the NSGA-III algorithm, and the model is verified based on the distribution data of China Petroleum Guangdong Sales Company. Finally, it is concluded that refined oil gas recovery will indeed reduce refined oil gas losses, economic losses and reduce the cumulative execution time of distribution tasks, reducing the time cost.

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Correspondence to Chenglong Wang .

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Appendix: Distribution Route

Appendix: Distribution Route

Table 5 Table 9.5

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Wang, C., Xu, X. (2020). Research on Refined Oil Distribution Strategy and Oil Gas Recovery Joint Optimization . In: Li, X., Xu, X. (eds) Proceedings of the Seventh International Forum on Decision Sciences. Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-15-5720-0_7

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