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中国管理科学

中国管理科学 ›› 2009, Vol. 17 ›› Issue (4): 60-68.

• 论文 • 上一篇    下一篇

部分短缺量拖后下基于顾客敏感度的补货策略适用范围研究

张旭梅, 邱晗光   

  1. 重庆大学经济与工商管理学院, 重庆400044
  • 收稿日期:2008-09-12 修回日期:2009-05-30 出版日期:2009-08-30 发布日期:2009-08-30
  • 作者简介:张旭梅(1966- ),女(汉族),四川仁寿人,重庆大学经济与工商管理学院教授,博士生导师,研究方向:物流与供应链管理、客户关系管理.
  • 基金资助:

    国家863重点项目课题(2007AA040801)

Research on the Application Situation of Replenishment Policies according to Customers’ Sensitivity under Partial Backlogging

ZHANG Xu-mei, QIU Han-guang   

  1. College of Economics and Business Administration, Chongqing University, Chongqing 400044, China
  • Received:2008-09-12 Revised:2009-05-30 Online:2009-08-30 Published:2009-08-30

PDF (PC)

1331

被引次数

20

摘要： 顾客对缺货数量和等待时间的敏感度影响着部分短缺量拖后率。基于此,根据顾客对缺货数量和等待时间的敏感度以及成本结构,对部分短缺量拖后下不同补货策略的适用范围进行了研究,得出以下结论:(s,S)连续性检查策略适用于单位缺货和丢单成本较高的库存系统;(t,S)周期性检查策略和(t,s,S)混合策略适用于单位缺货和丢单成本较低的库存系统;在单位缺货和丢单成本较低的库存系统中,当顾客对缺货数量较敏感时,(t,s,S)混合策略的运作成本更低,否则(t,S)周期性检查策略更适用,而顾客对等待时间的敏感度对补货策略适用范围的影响不明显。

关键词: 补货策略, 部分短缺量拖后, 等待时间, 顾客敏感度

Abstract: The customers'sensitivity to the waiting time and the quantity of backlogged items under the stock-out period have a strong effect on the rate of partial backlogging. Based on this the application situation of different replenishment polities was researched It shows:(s,S) replenishment policy are more suitable to the inventory system with the high unit cost for backlogged items and lost sales;(t,S) replenishment policy and (t,s,S) replenishment policy are more suitable to the inventory system with the high unit cost for backlogged items and lost sales. In the inventory system with the high unit cost for backlogged items and lost sales,(t,S) replenishment policy is more suitable to the inventory system when the customers' sensitivity to the quantity of the backlogged items is lower,or else (t,s,S) replenishment policy is more suitable;and the customers'sensitivity to the waiting time down't have a significant effect on the application situation of the replenishment policies.

Key words: replenishment policy, partial backlogging, waiting time, customers’sensitivity

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