供应链收入共享契约协调的随机期望值模型

中国管理科学 ›› 2006, Vol. ›› Issue (4): 30-34.

供应链收入共享契约协调的随机期望值模型

邱若臻, 黄小原

东北大学工商管理学院, 辽宁, 沈阳, 110004

收稿日期:2005-09-12 修回日期:2006-06-03 出版日期:2006-08-28 发布日期:2012-03-07
基金资助:
国家自然科学基金项目(70572088);国家重点项目(国债项目:2004-134);辽宁省科学技术计划项目(2004401015)

The Random Expected Value Model of Revenue-Sharing Contract Coordination in Supply Chain

QIU Ruo-zhen, HUANG Xiao-yuan

School of Business Administration, Northeastern University, Shenyang 110004, China

Received:2005-09-12 Revised:2006-06-03 Online:2006-08-28 Published:2012-03-07

摘要/Abstract

摘要： 本文研究了供应链契约协调中的收入共享契约.建立了具有缺货成本的供应链收入共享契约协调的随机期望值模型,推导了实现分散供应链协调的收入共享契约参数之间的关系,分析了收入共享机制在改进供应链整体运作绩效方面的作用.设计了求解随机期望值模型的混合智能算法,进行了收入共享契约协调模型仿真实验,探讨了收入共享契约参数变化对供应链成员绩效的影响.结果表明,本文建立的收入共享契约协调的随机期望值模型具有实际意义,并在随机需求条件下协调了供应链运作.

关键词: 供应链, 收入共享, 契约, 随机期望值模型, 混合智能算法

Abstract: The revenue-sharing contract in supply chain contract coordination is studied in this paper.The random expected value model of revenue-sharing contract coordination in supply chain with underage cost is developed and the relation between revenue-sharing contract parameters for coordinating decentralized supply chain is educed,and the effect of revenue-sharing mechanism for improving the operational performance of entire supply chain is analyzed.A mixed intelligent arithmetic for random expected value model is designed and simulation is done aiming at revenue-sharing contract coordination model,and the impacts of variety of revenue-sharing contract parameters on supply chain members' performance are discussed.The results show the random expected value model of revenue-sharing contract coordination developed in this paper is practical and coordinates the operation of supply chain with random demand.

Key words: supply chain, revenue sharing, contract, random expected value model, mixed intelligent arithmetic

中图分类号:

F274

邱若臻, 黄小原. 供应链收入共享契约协调的随机期望值模型[J]. 中国管理科学, 2006, (4): 30-34.

QIU Ruo-zhen, HUANG Xiao-yuan. The Random Expected Value Model of Revenue-Sharing Contract Coordination in Supply Chain[J]. Chinese Journal of Management Science, 2006, (4): 30-34.

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