Research On Strategy Of Data Sharing In A Two-echelon Supply Chain With IOT

The application of Internet of Things(IoT) makes resources within and without the enterprise in a supply chain connected “things to things” across boundary of enterprises. Through IoT the enterprise in a supply chain can show its own or see its partners' resources status which makes resources penetratingly visible. Meanwhile, resources that embedded IoT intelligent terminals possess ability of intelligent optimization and communicate with human or things actively or passively to connect supply and demand directly, which provide the technical foundation to realize information and resource sharing between supply chain members.Compared with previous information sharing, what was shared is the real-time data between supply chain members with the support of the Io T technology, this means the visual depth of resources will not in control, and the risk loss also cannot be measured easily. The way of information exchange and sharing will be changed, so there need to study decision problems of new data resource sharing between supply chain subjects. What needs to consider is not whether share or not, but how to share the data so that can avoid overshare. On the basic of research on supply chain cooperation and coordination previously, this research project try to analyze the influence of supply chain in application of IoT, explore evolution mechanisms of competition for benefit and decision making behavior of enterprises in supply chain.With an upstream manufacturer and its downstream retailer as the research objects, the content of the study includes: the profit models are developed under different decision combinations by introducing the trust factor, and the impact of potential value of data, the equilibriums also been discussed by using the game theory.Aimed at the equilibrium situations, the feasible coordination scheme are put forward. The equilibrium which cannot be coordinated in the short term is discussed in the perspective of long-term cooperation. The total revenue functions of long-term repeated game are established. And the change of equilibrium and room for improvement are discussed.From the perspectives of short-term and long-term, the behaviors in the game process and the optimal strategy are analyzed. Then the factors affecting decision-making and the interaction relationship are discussed. Finally, numerical examples are presented to illustrate the developed models.