| With the introduction and mature of online payment, credit services, third-party payment, shopping search and other online shopping, Chinese Internet users are no longer in fear of online shopping, but in the convenience of online shopping, gradually making online shopping as their main shopping channel. For the next few years, China's online shopping market will continue to maintain a rapid growth trend.The internet advanced sale is a new e-commerce form, and its prospect is even brighter. But now, at home and abroad research on it is little, insufficient to meet needs of theory and practice. This thesis took internet advanced sale as the study object, which is conducted through internet. In essence, demand and prices mechanism contribute to the formation of internet advanced sale. In this thesis, based on previous studies, in use of economic theory to explain the exist reason for internet advanced sale mechanism, it studied impact of time preference factors and social factors on internet advanced sale mechanism, and used Anylogic simulation software to simulate and optimize internet advanced sale mechanism modeling system by combined system dynamics and Agent based.The main innovations in this thesis are as followed:(1) The systematic study of network advanced sale mechanism.(2) Introduce time preference factors into internet advanced sale mechanism for the first time, from the breadth and depth to establish the model.(3) Introduce social preference factors into internet advanced sale mechanism for the first time, from the breadth and depth to establish the model. Customers are divided into two categories: rational customers and followed customers.(4) In-depth study in the combined method of System Dynamics and Agent-based modeling and simulation.(5) In use of Anylogic, establish the model of internet advanced sale mechanism. With the help of good performance on combined simulation method, achieve optimization of supply chain benefits in different conditions. |
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