A modified RAND method with application to the multi-buyer joint replenishment problem

被引：0

作者：

Zhang, Xing ^{[1
]}

Huang, Di ^{[1
]}

机构：

[1] School of Economics and Management, Beihang University, Beijing, 100191, China

来源：

Advances in Information Sciences and Service Sciences | 2012年 / 4卷 / 01期

关键词：

Heuristic methods - Sales;

D O I：

10.4156/aiss.vol4.issue1.6

中图分类号：

学科分类号：

摘要：

The joint replenishment problem (JRP) has been studied extensively during the last two decades. However, there is limited research on dealing with the multi-buyer joint replenishment problem (MJRP) with budget constraint. In this paper, we develop a heuristic based on a modified RAND method proposed in a previous work. The performance of this heuristic is evaluated by a lower bound derived from the associated Lagrangian dual problem. Computational experiments suggest that the proposed heuristic is very efficient.

引用

页码：46 / 53

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