摘要
建立了一个基于需求预测的多点库存控制模型,并提出一个改进的遗传算法来进行求解,结果显示与单点最优库存控制策略相比,该方法有效。
The paper establishes a multi-depot inventory control model based on demand forecasting and proposes an improved genetic algorithm for its solution, which is shown through a comparative example to be more effective than a single depot oriented optimal inventory control strategy.
出处
《物流技术》
2011年第7期123-125,共3页
Logistics Technology
关键词
库存控制
VMI
改进遗传算法
inventory control
VMI
improved genetic algorithm
