【正文】 ed to formulate mathematical models of reverse logistics. Among these studies, Min et al. presented a geic algorithm model to deploy centralized return centers. Klausner and Hendrickson explored the relationship between product return ratio and reverse logistics strategy . Kulshreshtha and Sarangi examined the link between recycling and price discrimination. Although these optimization models provide partial reverse logistic solutions, they include many assumptions that would not hold in reality. Since reverse logistic activities are too uncertain to formulize, the information about them should ideally be bined. Additionally, some studies have investigated this issue from the perspective of the entire supply chain. For instance, Beamon extended the forward supply chain, and proposed the green supply chain concept . TibbenLembake and Rogers discussed the distinction between forward and reverse logistics in multiple dimensions . Mollenkopf and Closs discussed the hidden value of reverse logistics from the entire supply chain . Richey et al. surveyed reverse logistics programs, and claimed that information is a critical factor. Companies are increasingly utilizing reverse logistics as a business strategy. For instance, loose return policies might give customers the impression of high product quality. Additionally, a business may earn goodwill from socially or environment responsible behavior. However, these reverse logistics strategies might lead to a large amount o f returned and recycled merchandise. Businesses require additional information to resolve this vicious circle. Otherwise, the opaque information might invoke a huge bullwhip effect. As business obtains more information, they can predict and prepare, or even prevent bad effects in reverse activities. If the returned products are fashion merchandise, such as 3C electronic product or seasonal clothes, then the product remaining value might fall when they are sent back by the consumer to the producer site . Therefore, if sufficient information is available to enable businesses to predict returns early, then business could properly prepare and reduce process time to maintain their remaining values. Additionally, due to the enforcement of WEEE or RoHS in European Union, manufacturers would bee concerned with the recycle ratio at any time. This study considers these reverse logistic activities more actively. An agentbased model is presented to increase information transparency degree (ITD) of the entire supply chain management (SCM). A supply chain with a high ITD serves as an early warning system, and works very efficiently. A High ITD enhances information sharing within an entire supply chain management (SCM). 2 Problem Descriptions Previous studies have categorized reverse logistic activities into three groups, as shown in Table 1, namely return, repair and recycle. In the process of forward logistics, suppliers provide raw material to manufacturers, who make products, which are then sent to customers, generally through distributors. Conversely, a customer might send a product back for return, repair or recycling. Additionally, manufacturers and suppliers also need to deal with defective or nonworking products. Recycling collectors need to dispose of these recycled products properly, and transfer reusable materials back to the supplier and manufacturer. This process is known as reverse logistics. These reverse activities have the following problems. (1) If a customer returns product to a distributor, then the distributor might stock returned products to a particular level, then send them back to manufacturer. However, this practice adversely affects the manufacturer, who has less time to