Abstract: With the global economic integration,the competition between enterprises has been altered essentially from the competition between individual enterprises to the competition of the supply chains among enterprises.This new mode of competition gradually urges the enterprises to maximize the profits of the whole supply chain.The author aimed to explore how can the inventory be effectively controlled under the collaboration running of the supply chain by establishing a multi-level supply chain model of inventory and using the improved immune genetic algorithm to find optimized solution to the established model.This study took the P1 and P2 produced by a solid wood furniture company located in the western areas of China as examples,combined the established multi-level inventory model of cost optimization and the corresponding algorithms,and used MATLAB simulation software to find solutions.

Key words: Supply chain inventory,Cooperative optimization,Immune genetic algorithm