现代制造工程Issue(2)：1-7,13,8.DOI:10.16731/j.cnki.1671-3133.2017.02.001
基于文化基因算法的多供应商多零售商VMI问题研究
The research of multi-vendor multi-retailer VMI problem based on memetic algorithm
摘要
Abstract
Under the background of multi-vendor multi-retailer single central warehouse supply chain,taking into account the constraints of the order quantities of the supplier,retailer,central warehouse,and the constrains of their order frequency,the total warehouse costs of vendor managed inventory problem mathematical model was established.To solve this model,aiming at the minimum total inventoy cost,memetic algorithm is used to solve the annual ordering frequency of the supplier,retailer,central warehouse,and the order quantity.An encoding way is built to bridge the VMI and the algorithm.In the process of global search,to absorb the genes of the best individual,use the crossover way that is based on the cross-way location.In the process of local search,to produce a certain scale neighborhood gene individuals,use the mutation way that is based on location.To get the best parameters of the algorithm,the orthogonal experimental design is used.The algorithm is used to solve a specific problem.The example shows the effectiveness of the algorithm.关键词
多供应商/多零售商/供应商管理库存/VMI/文化基因算法/供应链Key words
multi-vendor/multi-retailer/vendor managed inventory/Vendor Management Inventory (VMI)/memetic algorithm/supply chain分类
信息技术与安全科学引用本文复制引用
刘琳琳,杨斌,朱小林,张志强..基于文化基因算法的多供应商多零售商VMI问题研究[J].现代制造工程,2017,(2):1-7,13,8.基金项目
国家自然科学基金资助项目(71171129) （71171129）
上海市科委科研计划项目(12510501600 （）
14DZ2280200 （）
14511107402) （）
