出版社：Canadian Research & Development Center of Sciences and Cultures
摘要：In this paper, a hybrid model is developed for drug time series in the healthcare supply chain. The model helps to make decisions about the strategic issues such as optimizing inventory and integrating healthcare supply chain. In order to verify and analyze the proposed model, the data was obtained from a real company. The model has practical significance after experiencing and managerial insights are provided.
其他摘要：Decision markets are a method of community information gathering, so that market methods can be used to deal with public decision problems. The decision made by the decision makers can be shown as an equilibrium price. This thesis would design a Public Decision Markets model based on the principles of futures market. By using market principles to gather public decision preferences and use the equilibrium price to represent understandings. This model would be able to represent public intelligence level on public decision making. First transferring the binary decision market into a tradeable contract. Then make personal trading decisions under market environments. Finally, calculate the equilibrium price based on the total demand and total supply, providing a group consensus on the public decision issue. At the end of the thesis, it would provide cases where publicity tactics were decided upon the market acceptance. Proving this public decision model can effectively generate decision under big data context, while the tendency of group consensus was underestimated.
关键词：Public decision markets model;Collective intelligence;Big data;Preference group
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