Design of Collaborative Optimization System for Material Intensive Procurement Process Based on Information Entropy

Abstract:
In order to realize the material intensive procurement and the intelligent management and control of the procurement process, the collaborative optimization system of material intensive procurement process is designed based on information entropy. RFID tag recognition technology is used to collect material information, combined with the method of information entropy feature detection and big data collection, the procurement process information intensive processing is carried out. Relying on the method of information entropy fusion and feature extraction, the embedded ARM addressing technology is used in the embedded bus to control the material intensive procurement process and realize the collaborative optimization system design of material intensive procurement process. The test results show that the system has good reliability, high adaptability and low information estimation error, and can complete the collaborative optimization of material intensive procurement process.