Joint Replenishment and Delivery Problem with Stochastic Demand

被引：0

作者：

Li Chengyan ^{[1
]}

Wang Chuang ^{[1
]}

机构：

[1] Harbin Univ Sci & Technol, Dept Comp Sci & Technol, Harbin, Peoples R China

来源：

PROCEEDINGS OF 2015 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2015) | 2015年

关键词：

joint replenishment and delivery problem; stochastic demand rate; Monte Carlo simulation;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper considered the joint replenishment and delivery problem under uncertainty. Expect value model of the problem is developed to minimize the total cost, including central warehouse inventory holding cost, ordering cost, delivery cost and customer waiting cost. We simulated the random demand rate using Monte Carlo sampling and proposed a heuristic algorithm to solve the mathematical model of stochastic JRD problem. 1000 randomly generated numerical examples illustrated the effectiveness and efficiency of the approach and algorithm.

引用

页码：121 / 123

页数：3

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