摘要
在具有需求预测更新的计划模型中,信息不对称和双重定价问题仍然在困扰着上下游企业间的关系。本文在报童模型和贝叶斯分析模型的基础上对不对称信息下具有需求预测更新的供应链系统进行了描述,并分析了信息不对称和双重定价问题。而后通过运用委托代理理论的激励原理设计最小订货比例合同,激励零售商共享其私人信息来消除双方的信息不对称,通过设计补贴合同来消除双重边际化造成的低效率,进而实现供应链上下游企业间的协调运作。最后通过运用百佳汽车公司与一汽大众供应链系统的运营数据,计算了两个合同的参数,进一步证明了最小订货比例合同和补贴合同的有效性。
In the plan model of demand forecast update conditions, asymmetry information and double marginalization are still key problems influencing the relationship between the supplier and retailer. Based on the newsboy model and Bayesian analysis, supply chain system in demand forecast update conditions with asymmetry is described in order to analyze the asymmetry information and double marginalization. Then, the minimal order proportion contract based on the incentive principle of agent theory is designed to incent the retailer to share private information so that asymmetry information can be reduced, and compensating contract is designed to solve the problem of low efficiency of double marginalization. Finally, based on the operational data of supply chain constituted by Baijia company and faw-volkswagen company, the parameters of the two contracts are calculated so that the validity of the two contracts can be verified further.
出处
《中国管理科学》
CSSCI
北大核心
2010年第1期83-89,共7页
Chinese Journal of Management Science
基金
国家自然科学基金资助项目(70772088
70028102)
国家社会科学基金资助项目(08BJY078)
中国人民大学研究生科学研究基金(08XNG030)
关键词
供应链协调
信息不对称
需求预测
最小订货比例合同
补贴合同
supply chain coordination
asymmetry information
demand forecast
minimal order proportion contract
compensating contract
