非对称信息下市场需求与生产成本同时发生扰动时的供应链决策

中国管理科学 ›› 2013, Vol. 21 ›› Issue (3): 61-70.

非对称信息下市场需求与生产成本同时发生扰动时的供应链决策

周建中¹, 陈秀宏²

1. 江南大学商学院, 江苏无锡 214122;
2. 江南大学数字媒体学院, 江苏无锡 214122

收稿日期:2011-07-07 修回日期:2012-12-28 出版日期:2013-06-30 发布日期:2013-06-20

Supply Chain Decision with Asymmetric Information When Demand and Production Cost Disrupt Simultaneously

ZHOU Jian-zhong¹, CHEN Xiu-hong²

1. School of Business, Jiangnan University, Wuxi 214122, China;
2. School of Digital Media, Jiangnan University, Wuxi 214122, China

Received:2011-07-07 Revised:2012-12-28 Online:2013-06-30 Published:2013-06-20

摘要/Abstract

摘要： 对由一个生产商和一个销售商组成的两级供应链模型,基于以生产商为主导的Stackelberg 博弈,针对需求函数分别为线性和非线性的情形,研究非对称信息下市场需求和生产成本同时扰动的供应链最优决策。在市场规模不确定的条件下建立生产商与销售商的利润函数,根据两类扰动之间的关系分四种情况确定供应链中各因素及总利润的最佳表示形式。通过数值仿真试验讨论供应链中各因素随扰动及市场信息变化而变化的各种趋势和最优生产量在一定条件下的鲁棒性,并进一步说明非对称信息下两类扰动对供应链的影响。

关键词: 供应链决策, 非对称信息, 需求扰动, 生产成本扰动, 利润, 鲁棒性

Abstract: Based on the supplier-leader Stackelberg game, optimal policies for a one-supplier -one-retailer supply chain with asymmetric information when demand and production cost disrupt simultaneously are studied with the assumption of line and nonline demand functions. First, the profit functions of supplier and retailer are given under asymmetric information. Then, the expressions are developed for optimal supply price, optimal retail price, optimal supplier profit, optimal retailer profit and total profit of supply chain. Finally, the some variation tendencies of the supply chain members with two disruptions via numerical simulation are discussed, and the robust of optimal production under some conditions is obtained. The results show that two disruptions have a strong influence on supply chain with asymmetric information.

Key words: supply chain decision, asymmetric information, demand and production cost disruption, profit, robust

中图分类号:

F253
F406.2

周建中, 陈秀宏. 非对称信息下市场需求与生产成本同时发生扰动时的供应链决策[J]. 中国管理科学, 2013, 21(3): 61-70.

ZHOU Jian-zhong, CHEN Xiu-hong. Supply Chain Decision with Asymmetric Information When Demand and Production Cost Disrupt Simultaneously[J]. Chinese Journal of Management Science, 2013, 21(3): 61-70.

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