The Construction of Decision Model of Multi-channel Closed-loop Supply Chain Based on Big Data

Abstract

In today's era, science and technology have undergone tremendous development, and the research on big data technology has become more and more mature. Many areas of human life have begun to apply big data technology, and big data technology has indeed brought more convenience to human life. With innovation, human life has also become better because of the development of big data. With the increase of people's awareness of environmental protection and sustainable development, more and more scholars have begun to pay attention to the research of multi-channel closed-loop supply chain. The return products caused by reverse logistics greatly affect the supply chain inventory system and the butterfly effect of the supply chain. This paper uses the Agent technology in big data to construct a multi-channel closed-loop supply chain decision model, and applies the Agent technology to the research of multi-channel closed-loop supply chain inventory and butterfly effect. This paper analyzes the functional agents included in each structural agent in the closed-loop supply chain, designs the simulation process, and designs the final data collection and analysis. Through the analysis of the simulation results, find out the influence of the reverse logistics recycling and return links and the changes in inventory control parameters on the butterfly effect of the members of the closed-loop supply chain at all levels, and provide guidance for the members of the closed-loop supply chain to formulate reasonable and effective inventory control strategies Sexual opinions.