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Primary logistics planning of oil products under the imbalance of supply and demand

Petroleum Science 2022年第4期19卷 1915-1925页

作者： Rui Qiu Yong-Tu Liang Qi Liao Ying-Qi Jiao Bo-Hong Wang Yi Guo Hao-Ran Zhang National Engineering Laboratory for Pipeline Safety/Beijing Key Laboratory of Urban Oil and Gas Distribution Technology China University of Petroleum-BeijingFuxue Road No.18Changping DistrictBeijing102249PR China School of Petrochemical Engineering and Environment Zhejiang Ocean UniversityZhoushan316022China Sustainable Process Integration Laboratory–SPIL NETME CentreFaculty of Mechanical EngineeringBrno University of Technology–VUT BrnoTechnická2896/261669BrnoCzech Republic Oil&Gas Pipeline Control Center PipeChinaDongtucheng Road No.5Chaoyang DistrictBeijing100013PR China Center for Spatial Information Science The University of Tokyo5-1-5 KashiwanohaKashiwa-shiChiba277-8568Japan

This paper intends to complete the primary logistics planning of oil products under the imbalance of supply and demand. An integrated mathematical programming model is developed to simultaneously find the balance between supply and demand, and optimize the logistics scheme. The model takes minimum logistics cost and resource adjustment cost as the objective function, and takes supply and demand capacity, transportation capacity, mass balance, and resource adjustment rules as *** adjustment rules are considered in the model, including resource adjustment within oil suppliers,within oil consumers, and between oil consumers. The model is tested on a large-scale primary logistics of a state-owned petroleum enterprise, involving 37 affiliated refineries, 31 procurement departments,286 market depots and dedicated consumers. After the unified optimization, the supply and demand imbalance is eased by 97% and the total cost is saved by 7%, which proves the effectiveness and applicability of the proposed model.

关键词： Oil product logistics supply and demand imbalance Petroleum enterprise Resource adjustment Mathematical Programming model

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