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

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