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28 July 2023 Optimization of LNG supply chain based on MILP model
Ansen Hu, Zhouying He, Chen Ding, Mengxi Zhou, Fei Li, Cuicui Li
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Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 1275628 (2023) https://doi.org/10.1117/12.2686031
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China
Abstract
The operation optimization of LNG supply chain is increasingly crucial. This paper investigates the operation optimization of LNG supply chain. The minimum total cost of the new LNG supply chain is set as the objective function. Under the constraints of station construction, route selection, equipment purchase, node flow balance, and service radius, a mixed integer linear programming (MILP) model is established. Finally, it can determine the liquefaction scheme of gas source, intermediate node construction scheme, reserve storage scheme, transportation scheme, purchase scheme of different equipment, etc. A practical case is used to illustrate the reliability of the model. The results show the proposed model can provide an admission of LNG production, transportation, and marketing business for natural gas-related enterprises, and also can help the government to coordinate resources.
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Ansen Hu, Zhouying He, Chen Ding, Mengxi Zhou, Fei Li, and Cuicui Li "Optimization of LNG supply chain based on MILP model", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 1275628 (28 July 2023); https://doi.org/10.1117/12.2686031
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KEYWORDS
Transportation
Computer programming
Mathematical modeling
Mathematical optimization
Methane
Reliability
Roads
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