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Pricing Strategy Of Supply Chain With Uncertain Recovery Rate And Remanufacturing Rate Under WTP Difference

Posted on:2019-03-13Degree:MasterType:Thesis
Country:ChinaCandidate:Q LiuFull Text:PDF
GTID:2429330545973790Subject:Management Science and Engineering
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With the continuous progress of the society and the continuous improvement of people's living standards,the concept of green and environmental protection is deeply rooted in the hearts of the people.The proposal of resource-saving and environment-friendly society has been widely recognized by people.The manufacturing industry embarked on the road of tran sformation to meet social needs,and remanufacturing was produced.The domestic government strongly supports the development of remanufacturing in policy,and puts forward the opinion on the development of remanufacturing and formally entered into force in 2011.It trains the remanufacturing industry as a new economic growth point in the country.In addition,with the development of circular economy,enterprises begin to recycle waste products and remanufacture,which is of great significance to enhance the image of enterprises and increase the economic benefits of enterprises.Therefore,the study of remanufacturing closed-loop supply chain strategy is in line with the current economic development situation,and can promote the remanufacturing development of enterprisesOn the basis of the existing literature,this paper first collate and analyze the literature about remanufacturing at home and abroad,summarize the research direction and shortcomings of the previous literature,and draw the research direction of this paper.Taking Fuji Xerox as a case,through the analysis of the remanufacturing process of Fuji Xerox,and it points out the existing general problems in remanufacturing closed loop supply chain.Then a mathematical model is constructed with a closed loop supply chain composed of single retailer,manufacturer and consumer.Under the difference of WTP(consumer willingness to pay)for new products and remanufactured products,taking into account the uncertainty of recovery and remanufacturing rate,Stackelberg game theory is used to analyze the closed loop supply chain strategy under centralized and decentralized decision-making.This paper mainly analyzes the profits of the manufacturers and retailers and the overall supply chain under two kinds of decision making,and obtains the optimal product price and the optimal product quantity of the new products and remanufactured products.With the help of numerical simulation,the research results are more intuitionistic.This paper tries to put forward a certain coordination method to regulate the efficiency loss of closed loop supply chain system.The results show that:(1)The increase of remanufacturing rate will reduce the price of new products and remanufactured products in the supply chain under the two decisions,and increase the output.(2)Consumers' willingness to pay has a positive effect on the sale prices of remanufactured products.(3)Both recovery rate and remanufacturing rate will significantly affect the product price and production quantity of the supply chain.(4)In the case of WTP difference between new products and remanufactured products,the optimal profit of closed-loop supply chain under centralized decision is higher than decentralized decision.This paper not only provides advice for the pricing of remanufacturing products for manufacturers and retailers,but also provides some guidance for the coordination pricing strategy of manufacturers and retailers under decentralized decision-making.At the same time,it also provides a certain way for enterprises to overcome the lack of efficiency in remanufacturing supply chain system in the production process.It can also provide a basis for Remanufacturing Decision Management for manufacturers and retailers in supply chain,and also provide guidance for government to guide the development of remanufacturing market.
Keywords/Search Tags:closed loop supply chain, remanufacturing, pricing, consumers' willingness to pay
PDF Full Text Request
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