关键词: 协同库存控制, 钢铁集团, 原料, 网络层次分析法, 遗传算法

Abstract: In order to improve economic benefits for Chinese Iron & Steel Group, to realize optimized configuration of production resources and collaborative share of the inventory resources within the entire enterprise group, a raw material collaborative inventory control model for Iron & Steel Group was proposed. In this model, warehouse systems in subsidiaries and strategic suppliers were considered as a whole logic inventory, and an integrated approach of Analytic Network Process (ANP) and Genetic Algorithm(GA) was used to resolve problems of best supply warehouses selection and supply distribution, The aim was to obtain the minimum purchasing cost and maximum supply values. The application of this model in a Northeast Iron & Steel Group revealed the feasibility and effectiveness of this model and its algorithm.

Key words: collaborative inventory control, iron & steel group, raw material, analytic network process, genetic algorithm