摘要
文章针对单一供应商和多零售商组成的非一体化供应链,研究了零售商市场需求依赖于其当前库存水平情形下的库存路径问题(inventory routing problem,IRP);在分散式系统下,建立了供需双方的利润模型,给出了改进的最邻近算法,降低了运输费用,提高了供应链的整体利润,再通过价格策略实现了供应商和各零售商多赢,促进了供应链的协调;并给出算例对模型进行了仿真计算与分析。
For a decentralized supply chain consisting of a single supplier and multiple retailers, the inventory routing problem（IRP） with the stock-dependent market demand of retailers is considered. In a distributed system, the profit models of the supplier and retailers are established and a modified nearest neighbor algorithm is proposed to reduce transportation cost and enhance the whole profit of the supply chain. A proper pricing strategy is used to realize multi-win and improve the coordination of supply chain. Numerical example is given for the simulation calculation and analysis.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2016年第2期283-288,共6页
Journal of Hefei University of Technology：Natural Science
基金
国家自然科学基金资助项目(71101002)
高等学校博士学科点专项科研基金资助项目(20120111120013)
合肥工业大学科学研究发展基金资助项目(2013HGXJ0234)
关键词
库存影响需求
非一体化供应链
库存路径问题
供应链协调
价格策略
stock-dependent demand
decentralized supply chain
inventory routing problem（IRP）
supply chain coordination
pricing strategy
