The Study On Value And Incentive Mechanism Of Information Sharing In Closed-loop Supply Chain

With environmental degradation and resource depletion arousing widespread concern in the society,circular economy has been paid much attention by all countries.In this background,traditional supply chain is evolving to closed-loop supply chain that has the characteristics of complexity and uncertainty.Information sharing plays an important role in improving operation efficiency of closed-loop supply chain.In order to explore the specific influence of information sharing,some scholars have conducted quantitative researches on the value of information sharing.But,they usually study value of information sharing in one recycling model.This paper studies the influence of information sharing on different recycling models.This paper chooses value of demand forecast information sharing as study object,and constructs manufacturer recycling model,retail recycling model and third recycling model based on game theory.Then this paper analyzes the influence of information sharing in different models and compares different models.The study finds that information sharing does not affect the expected recovery ratio,expected wholesale price and expected retail price;the prediction accuracy of manufacturer and retailer affects retailer's information sharing strategy;in manufacturer recycling model,information sharing can improve the operation efficiency of the whole closed-loop supply chain system sometimes,which damages the interests of retailers;in the retailer recycling model and third party recycling model,information sharing cannot improve the operational efficiency of closed-loop supply chain;the transfer price affects manufacturer's recycling channel selection strategy.In addition,this paper uses the Nash bargaining model to design the incentive mechanism of information sharing.Under this mechanism,the manufacturers allocates a certain proportion of extra profits to the retailer,which makes the manufacturers and the retailer can obtain higher profits after information sharing.