基于免疫遗传算法的供应链库存协同优化研究

在全球经济一体化发展的大背景下,企业之间的竞争方式发生了本质上的改变,即已由原来单个企业之间的竞争变为企业间所在供应链之间的竞争。在这种竞争方式下,企业逐步向追求整个供应链利益的最大化转变。针对供应链整体协同运作来有效控制库存的问题,建立了多级库存供应链模型,运用改进的免疫遗传算法对所建的供应链多级库存模型进行优化求解；并以西部某实木家具公司的P1和P2产品为例,结合所建立的多级库存成本优化模型和相应的算法设计,运用Matlab数学仿真软件仿真求解。

Research on Collaborative Optimization of Supply Chain Inventory Based on Immune Genetic Algorithm

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.