Design of industrial logistics information integration method based on supply chain management

Abstract

Considering the problem of traditional information integration error and long processing time, this paper designs an industrial logistics information integration method based on supply chain management. Build the industrial logistics information integration method framework. Due to the diversity of industrial logistics information, use SVM information mining method, and then obtain the affiliation of each logistics node according to the characteristics of the supply chain. In a unified coded environment, nodes with the same attributes are collected and integrated according to the close relationship between different samples to complete the integration of industrial logistics information. Simulation results show that the minimum processing time required by the proposed method is 0.7 min, and integration error is always below 4.8%, effectively reducing the information integration time, reducing interfering the irrelevant information to the integration process and improving the accuracy of the integration results.