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随机需求下的多阶段供应链库存问题研究 被引量:5

Study on Inventory with Stochastic Demand in Multi-echelon Supply Chain
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摘要 多阶段库存问题是供应链研究的重要课题 ,随着供应链思想的发展 ,控制各个存储环节的成本是整个供应链降低成本及规避风险的有效方法 ,对这一问题的解决方法主要有 2种 [1 ] :(1)在分散决策下应用单阶段方法依次求优 ;(2 )销售需求计划 (类似 MRP)。这两种方法适用于不同的企业环境 ,本文采用了第一种方法。产品需求数量的不确定性是多阶段库存和分销系统难以实施优化的主要原因之一 ,本文研究的是一个批发商 ,N个零售商的销售系统 ,批发商对零售商的订单采取的是先到先服务机制。通过将各个水平的需求依据其概率特性进行随机的描述 ,然后运用单阶段的方法对其优化 ,进而得出各个阶段的最优库存。 The problem of multiechelon inventory is an important task in supply chain study. With the development of supply chain thinking, The efficiency way to reduce the inventory cost and risks is to control the inventory cost on different level. Recently, there are two approaches: (1) apply the singleechelon approach to each echelon in the network.(2) use a distribution requirements planning (DRP) approach or a variation. These two approaches hold true in different environment of enterprise.The uncertainty of product demand is one of the most important causes for the difficult of optimizing the inventory system. This paper assumes a system with a wholesaler and Nretailers, the wholesaler serves the retailer with the firstcome, firstserved mechanism. Fist we describe demand on different level as stochastic variable according to their probability property. Then we can get the optimal inventory by using singleechelon inventory method.
出处 《现代电子技术》 2005年第3期24-25,28,共3页 Modern Electronics Technique
关键词 多阶段库存 分散决策 先到先服务 随机需求 multiechelon inventory scatter decision firstcome firstserved stochastic demand
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参考文献5

  • 1[美]KaoEPC.随机过程导论(英文版)[M].北京:机械工业出版社,2003..
  • 2Calvin B, Lee. Multi -echelon Inventory Optimization.(c) 2003 EVANT (r) Inc.
  • 3Leonard Fortuin. Five Popular Probability Density Funetions: A Comparison in the Field of Stoek -eontrol Models[J]. Journal of the Operational Research Society,1980, 31: 937-939.
  • 4Amit Eynan. The Multi -location Inventory Centralization Problem with First-come, First-served allocation [J] .European Journal of Operational Research, 1999, 114;38 -49.
  • 5Hau Lee, Seunjin Whang. Decentralized Multi- echelon Supply Chains: Incentives and information . Management Science; 1999; 633-634.

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