Intelligent Application of Raw Material Supply Chain Planning System Based on Genetic Algorithm

Abstract

For the ordering and transportation of raw materials of production enterprises, an intelligent supply chain planning system based on genetic algorithms has been researched and developed. Based on the consideration of multicycle and multiraw materials, by constructing a multiobjective function, taking into account the optimal supplier, the optimal economic ordering scheme, and the minimum loss transshipment scheme, an optimal supply planning model based on genetic algorithm is proposed, and the optimal supply chain combination of the next 24 cycles is predicted by using the model, and its applicability is verified. The study shows that the supply chain planning system has good operation convenience, fast, intuitive, practical application effect of the function and can adapt to modern intelligent logistics and transportation.