Supply Chain Intelligent Management System Based on Big Data Background

Abstract

Existing researchers have confirmed the important role of big data analysis in corporate performance. Nowadays, supply chain management between enterprises is becoming increasingly important. In addition to pursuing internal performance, how to improve supply chain performance has also become a goal pursued by enterprises. This article mainly improves the efficiency of supply chain management by constructing an intelligent supply chain management system under the background of big data. This article utilizes blockchain technology to design and develop an intelligent supply chain management system, which completes the basic functions of modern supply chain platforms such as order management, warehouse management, and traceability. This article conducted functional and performance tests on the designed and developed supply chain intelligent management system. The functional test results showed that the system had 21 defects, including 1 fatal defect, 6 severe defects, and 14 general defects. The performance test results showed that the maximum concurrent number of system order modules was 150, and the TPS was 246. These results indicate that the functionality and performance of the supply chain intelligent management system fully meet daily demand standards.