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供应链中库存系统的信息熵 被引量:1

On Information Entropy of Inventory System in Supply Chain
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摘要 由于市场供给和需求的不确定性、供应链结构的复杂性以及长鞭效应(Bullwhip Effect)和反长鞭效应(Anti-Bullwhip Effect)等因素的影响,供应链及其库存系统存在着很大的不确定性,即供应链中的库存系统存在着熵。考虑长鞭效应和反长鞭效应下供应链中库存系统的信息熵,并进行仿真计算。研究发现库存系统在简单供应链系统中充当了信息熵的"放大器",制造商的库存系统在以制造商为核心的供应链系统中充当了信息熵的"剧增器"。最后给出有效降低熵值的策略,比如采用VMI模式或JMI模式,建立各种信息系统,推动式与拉动式供应链相结合,采用电子商务与传统分销相结合的供应链模式,在整个供应链系统中建立一个信息中心。 Due to the uncertainty of supply and demand, the complicated structure of the supply chain and the bullwhip effect and anti-bullwhip effect, various uncertainties exist in the inventory system, i.e. the entropy in the inventory system of supply chain. This paper studies the information entropy of inventory system in supply chain under bullwhip effect and anti-bullwhip effect, and does some simulations, the results of which indicate that the inventory system acts as an "amplifier" of information entropy in a simple supply chain system, while the inventory system of manufacturers acts as a leap implement of information entropy in the manufacturer-centered supply chain system. Finally the effective strategies of reducing entropy are given, such as adopting VMI or JMI mode, creating various information system, combining pushing mode with pulling mode supply chain, integrating electronic commerce mode with traditional distribution mode, and setting up a information center in the supply chain system.
出处 《工业工程》 2007年第6期32-37,共6页 Industrial Engineering Journal
基金 国家自然科学基金资助项目(50379009 70471083) 国家社会科学基金资助项目(06BJY026) 高等学校博士学科点专项科研基金资助项目(20060294008)
关键词 供应链 库存系统 信息熵 长鞭效应 反长鞭效应 supply chain inventory system information entropy bullwhip effect anti-bullwhip effect
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  • 1徐鑫,何红军,包玉玲.供应链中库存管理的研究[J].阜阳师范学院学报(自然科学版),2005,22(2):59-63. 被引量:6
  • 2谢惠民.动力系统的复杂性刻划[J].力学进展,1996,26(3):289-305. 被引量:10
  • 3Frizelle G D M. An Entropie Measurement of Complexity in Jackson Networks[R]. Working Paper No. 13. Manufacturing Engineering Group, Department of Engineering, University of Cambridge, UK.
  • 4Deshmukh A V, Talavage J J, Barash M M. Complexity in manufacturing systems, part 1: analysis of static complexity[J]. IIE Transactions, 1998, (30) : 645-655.
  • 5Shannon C E. A mathematical theory of communication[J].Bell System Tech, 1948,27:623-656.
  • 6Calinescu. Assessing the effectiveness of manufacturing information system [A]. Human performance in planning and Scheduling[C], 2000.
  • 7Holt C C, Modigliani F, Muth J F, Simon H. Planning Production, Inventories, and Work Force[M]. Prentice Hall, Englewood Cliffs, NJ, 1960.
  • 8Blanchard O J. The production and inventory behavior of the American automobile industry [ J]. Journal of Political Economy,1983, 91 : 365-400.
  • 9Blinder A S. Inventories and sticky prices[J]. American Economic Review, 1982, 72: 334-349.
  • 10Blinder A S. Can the production smoothing model of inventory behavior be saved? [J]. Quarterly Journal of Economics, 1986, 101(3) : 431-454.

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