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Mathematical Problems in Engineering
Volume 2017, Article ID 9785759, 12 pages
Research Article

Information Sharing in a Closed-Loop Supply Chain with Asymmetric Demand Forecasts

School of Economics and Business Administration, Chongqing University, Chongqing, China

Correspondence should be addressed to Zhongkai Xiong; nc.ude.uqc@iakgnohzgnoix

Received 13 December 2016; Accepted 7 March 2017; Published 22 March 2017

Academic Editor: Alessandro Mauro

Copyright © 2017 Pan Zhang and Zhongkai Xiong. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.