Information sharing in a closed-loop supply chain with technology licensing

2017 ◽  
Vol 191 ◽  
pp. 113-127 ◽  
Author(s):  
Yanting Huang ◽  
Zongjun Wang
2019 ◽  
Vol 11 (7) ◽  
pp. 1898 ◽  
Author(s):  
Zongbao Zou ◽  
Fan Wang ◽  
Xiaofan Lai ◽  
Jingxian Hong

As sustainability issues are receiving increasing attention in society, in recent years many manufacturers have been adopting remanufacturing via technology licensing. This paper uses a game theory approach to investigate this strategy of a manufacturer under a closed-loop supply chain consisting of one supplier, one manufacturer, and one third-party remanufacturer (TPR), with the consideration of customer environmental awareness. In particular, the supplier supplies the components to the manufacturer and the manufacturer adopts technology licensing remanufacturing via the TPR. We explicitly characterize the reactions between the supplier and the manufacturer as being in equilibrium after adopting the technology licensing. We find that only when remanufacturing is a potential threat to the supplier is the performance of the supply chain improved and the double marginalization effect effectively eliminated. Moreover, remanufacturing by technology licensing only increases the profit of the manufacturer, but decreases the profit of the supplier. Interestingly, contrary to traditional wisdom, the existence of remanufactured products does not reduce the quantity of new products. Furthermore, remanufacturing by technology licensing may not always improve the environment, but customers in the market have environmental awareness that facilitates remanufacturing.


Author(s):  
Yanting Huang ◽  
Benrong Zheng ◽  
Zongjun Wang

This paper considers a dual-channel closed-loop supply chain consisting of a manufacturer, a retailer and a collector in which the retailer possesses private demand information and determines whether to share his private information with other chain members. Specifically, we develop four information sharing models, namely no information sharing (Model C-R), the retailer sharing information with the manufacturer (Model C-R-M), the retailer revealing information to the collector (Model C-R-C), and the retailer disclosing information to both the manufacturer and the collector (Model C-R-T). We adopt the Stackelberg game to acquire the equilibrium strategies and examine the value of information sharing on chain members’ decisions. We find that, chain members will set the largest wholesale price, retail prices of direct and indirect channels when the retailer only shares information with the manufacturer and the highest return rate can be obtained in the case of the retailer only revealing information to the collector. We can also find that, information sharing is profitable to the manufacturer and the collector, while is detrimental to the retailer. The manufacturer, the collector and the retailer can reach the largest profits in Model C-R-T, Model C-R-C and Model C-R-M, respectively.


2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Pan Zhang ◽  
Zhongkai Xiong

This paper studies the problem of sharing demand forecast information in a closed-loop supply chain with the manufacturer collecting and remanufacturing. We investigate two scenarios: the “make-to-order” scenario, in which the manufacturer schedules production based on the realized demand, and the “make-to-stock” scenario, in which the manufacturer schedules production before the demand is known. For each scenario, we find that it is possible for the retailer to share his forecast without incentives when the collection efficiency of the manufacturer is high. When the efficiency is moderate, information sharing can be realized by a bargaining mechanism, and when the efficiency is low, non-information sharing is a unique equilibrium. Moreover, the possibility of information sharing in the make-to-stock scenario is higher than that in the make-to-order scenario. In addition, we analyze the impact of demand forecasts’ characteristics on the value of information sharing in both scenarios.


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