Construction of Supply Chain Information Sharing Mode in Big Data Environment

Abstract

With the complexity of supply chain network structure and the globalization of supply chain development, information sharing in supply chain becomes more and more important. Supply chain information sharing can not only improve the overall performance of the supply chain, promote cooperation and communication between supply chain nodes, reduce the “bullwhip effect” caused by information non-sharing, but also improve the response speed of supply chain to customer demand, which is conducive to the formation of core competitiveness of enterprises. With the arrival of the era of big data, information sharing has new opportunities and corresponding challenges in supply chain: on the one hand, the development of new technologies such as cloud computing and big data analysis technology has provided new sharing modes and channels for information sharing in supply chain; on the other hand, most of them have to face challenges. According to the storage and processing of massive information caused by massive data in the environment, new challenges are posed to enterprises. Based on the change of information sharing in supply chain under big data environment, it is very important to build a new information sharing mode. Based on the analysis of the advantages and disadvantages of three traditional information sharing modes, this paper constructs an identity-based and role-based information sharing mode using advanced storage platform and data prediction and mining methods in large data environment, which solves the problem of limited data storage and operation speed.