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

Authors: Xia Li

Addresses: School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu 233030, China

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.

Keywords: supply chain management technology; information mining; support vector machine; clustering centre; flow of information.

DOI: 10.1504/IJMTM.2022.128731

International Journal of Manufacturing Technology and Management, 2022 Vol.36 No.5/6, pp.380 - 392

Received: 18 Jun 2021
Accepted: 27 Oct 2021
Published online: 02 Feb 2023 *

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