The Optimal Collection Pricing Model For Remanufacturing Closed-loop Supply Chain

In recent decade, because of the enhancement of environmental consciousness and the constantly improvement of environmental protection laws and regulations, the problem of the product collecting and reusing of the closed-loop supply chain has received increased attention by academic field and industrial field.In this thesis, the optimal collection pricing problem of the remanufacturing closed-loop supply chain is discussed in two different cases based on using the the ory and method of statistics.(1)Remanufacturing of used goods have been widely recognized in theory and practice, the optimal collection problem of the without differential pricing and the differential pricing of closed-loop supply chain system composed of manufacturer, retailer and third-party is investigated.(2)In order to maximize the profit of the closed-loop supply chain system, the model of the third-party collection and the retailer collection is established, and discussed the strategy of the coordination pricing and differential pricing of the two collection models and obtained the optimal pricing principle, the optimal returned price and the optimal profit under the condition of decentralized decision making, and considered a stack-elberg game model for closed-loop supply chain where the manufacturer, retailer and the third-party play the roles of leader and follower, respectively. The optimal pricing principle, the optimal returned price and the optimal profit are illustrated, and analyzed the effect of supply chain structure.(3) The results show that the retailer collection model outperforms the third-party collection model, and find the consumers, environment and the society prefer the retailer selects the direct reverse channel. Finally, we perform parameters analysis on performance of the two channel models. Numerical examples are presented to validate our theoretical results and compare channel performance.