2022 10th International Conference on Information Systems and Computing Technology (ISCTech)(2022)
School of Software Engineering
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摘要
Aiming at the optimal cost planning problem in the process of raw material ordering and transshipment, this pa-per studies and develops a supply chain planning manage-ment model based on genetic algorithm by constructing ob-jective function and constraints. On the basis of analyzing the raw material demand of production enterprises, combined with the supplier's supply capacity and the transshipment loss rate of the transshipment carrier, the mathematical model of the optimal ordering scheme and the transshipment scheme is constructed, and the optimal supply planning model that can meet the actual supply chain planning needs is proposed, and the planning model is improved by using genetic algorithms, which greatly improves the operation speed and has good applicability.