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主办:中国优选法统筹法与经济数学研究会
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中国管理科学 ›› 2009, Vol. 17 ›› Issue (5): 96-103.

• 论文 • 上一篇    下一篇

随机需求下联合选址-库存模型研究

黄松, 杨超   

  1. 华中科技大学管理学院, 湖北武汉 430074
  • 收稿日期:2008-12-05 修回日期:2009-09-03 出版日期:2009-10-31 发布日期:2009-10-31
  • 作者简介:黄松(1982- ),男(汉族),湖北武汉人,华中科技大学管理学院博士研究生,研究方向:网络优化、物流管理.
  • 基金资助:

    国家自然科学基金资助项目(70871044,70601011);教育部新世纪优秀人才支持计划项目(NCET-06-0653)

Study on Joint Location-Inventory Model under Stochastic Demand

HUANG Song, YANG Chao   

  1. School of Management, Huazhong University of Science & Technology, Wuhan 430074, China
  • Received:2008-12-05 Revised:2009-09-03 Online:2009-10-31 Published:2009-10-31

摘要: 研究了一类具有季节性需求特性的商品的联合选址-库存模型。在传统的无容量限制的固定费用设施选址问题中考虑了分销中心的运作库存和安全库存的影响,以及规模经济效应和风险分摊效应,同时考虑了季节性商品未来需求的不确定性,将订货决策作为模型的决策变量,建立了一类随机需求下以期望销售收益最大化为目标函数的联合选址-库存模型,拓展了已有的联合选址-库存模型。该模型是一个混合整数规划问题,给出了求解该问题的基于拉格朗日松弛算法的两阶段算法,最后通过随机生成四组不同规模的数值算例,得到的计算结果表明拉格朗日松弛算法可以有效地求解该问题。

关键词: 设施选址, 选址-库存模型, 随机需求, 拉格朗日松弛

Abstract: A class of joint location-inventory models for products with seasonal selling property is investigated in this paper. Based on the traditional uncapacitated fixed charge facility location problem, the working inventory cost and the safety stock cost in the distribution centers, as well as the impacts or scale of economy and risk pooling, are considered. Considering the uncertainty offuture demand with seasonal products, this paper treats the replenishment decisions as exogenous decision variables, and develops a joint location-inventory model aiming at the maximization of expected revenue. The proposed model extends the existed joint location-inventory models. As the proposed model is a mixed integer programming problem, a two-phrase solution procedure based on Lagarangian relaxation algorithm is developed to solve this problem. At last, four groups of numerical examples which are generated stochastically are given and the solution resups show that the proposed Lagrangian relaxation approach can solve the problem effectively.

Key words: facility location, location-inventory model, stochastic demand, Lagrangian relaxation

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