Demonstration of Supply Chain Management in Big Data Analysis from Walmart, Toyota, and Amazon

Abstract

With the advent of the era of big data, social production and lifestyle have undergone tremendous changes. The traditional supply chain management system has high storage costs and poor timeliness. In contrast, the application of big data technology in the supply chain management system will provide customers with more personalized services, so that the supply chain can achieve lean production and lean management, and the supply and demand response is more rapid. This thesis gives examples of three different companies to analyze the big data technology that they are using, which are Walmart, Toyota, and Amazon. After a series of comparative processing, it can be found that big data technology promotes production efficiency and plays an increasingly important role in the process of enterprise management. Although in the early stage of big data technology, enterprises will experience many unknown difficulties, such as loss of confidence, and the tools for processing data are not efficient enough. However, by using the data center constructed by big data technology, it can better explore the hidden value of various data and provide a stable and efficient platform for enterprise development. These results shed light on guiding further exploration of implementation of bigdata analysis into supply chain management.