Abstract: Due to the rapid changes in business environment, it is difficult for green supply chain members to make accurate decisions in the face of highly uncertain market conditions.However, supply chain members can forecast uncertain market demand based on past sales data.Given this background, a problem of information sharing under asymmetric demand forecasting in green supply chain is studied. Two scenarios are investigated:the "make-to-order"scenario and the "make-to-stock" scenario, considering two situations:with information sharing and without information sharing. The optimal decision and optimal expected profit of the manufacturers and retailers in several cases are obtained. Through the comparison of the optimal expected profits, it is found the value of information sharing and a bargaining mechanism can coordinate the supply chain.
The research shows thatmanufacturers are always profitable from information sharing in both scenarios. Unlike previous studies, retailers can also benefit from information sharing when the green cost factor is low.When the green cost factor is high, manufacturers can promote retailers to share information through a bargaining contract. Additionally, when the green cost factor is high, there is no information sharing between members of the green supply chain. Furthermore, the increase of total revenue brought by information sharing in "make-to-stock" scenario is higher than that of the total revenue in "make-to-order"scenario. Therefore, the possibility of participant information sharing in the "make-to-stock" scenario is higher than that of the "make-to-order"scenario. Finally, the sensitivity analysis of some parameters influences the accuracy and correlation of the forecast information on the profit of the manufacturer, the value of the manufacturer's information sharing, and the value of the information sharing of the supply chain.

Key words: green supply chain, demand forecasts, make-to-order scenario, make-to-stock scenario, informationsharing