Pricing and coordination decision of supply chain based on CVaR under fuzzy demand

被引:0
|
作者
Xu M. [1 ]
Wang J. [1 ,2 ]
机构
[1] School of Business, Central South University, Changsha
[2] School of Mathematics and Finance, Hunan University of Humanities, Science and Technology, Loudi
关键词
Conditional value at risk; Coordination mechanism; Credibility theory; Fuzzy demand; Pricing strategy; Risk-aversion; Supply chains;
D O I
10.13196/j.cims.2020.08.025
中图分类号
学科分类号
摘要
To research the pricing strategy and coordination mechanism of the supply chain with risk aversion members under fuzzy demand, the fuzzy product demand was adopted to describe the uncertain demand of market. A two-stage supply chain decision model was constructed in the cases of risk averse, and the explicit solutions to the optimal decision were derived. A revenue sharing contract based on Shapley value was designed to coordinate the supply chain. The results showed that when the fuzzy uncertainty of market demand changed and in a higher risk aversion for manufacturer and the retailer, the optimal price would be decreased as the increasing of decreased market demand possibility, but would be unchanged as the increasing of increased market demand possibility. The opportunities to raise prices to obtain high returns would be lost under the condition of increased market demand possibility. The risk-averse decision maker would choose the risk-averse opponent as partners. The revenue sharing contract based on Shapley value could coordinate the supply chain system perfectly. © 2020, Editorial Department of CIMS. All right reserved.
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页码:2266 / 2277
页数:11
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