Core supplier identification method based on product matching network
By constructing a product supplier binary network and a supplier association network, and combining multi-dimensional evaluation indicators and comprehensive score calculation, the problem of one-sidedness and subjectivity in the identification of core suppliers in existing technologies is solved, realizing the automated and accurate identification of core suppliers and improving the scientificity and efficiency of supply chain management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NO 15 INST OF CHINA ELECTRONICS TECH GRP
- Filing Date
- 2026-04-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing core supplier identification methods rely on single-dimensional data or isolated indicators, failing to delve into the correlation between suppliers and products. This results in poor identification specificity, strong subjectivity in evaluation, and non-standardized processes, making it difficult to meet enterprises' needs for accurate and comprehensive core suppliers.
We construct a binary network of product suppliers and a supplier association network. We calculate various evaluation indicators through four dimensions: network structure, supply capacity, supply guarantee and cooperation stability. We use the entropy weight method and TOPSIS decision model to objectively assign weights, realize comprehensive score calculation, and automatically identify core suppliers.
It has enabled automated, comprehensive, and accurate identification of core suppliers, improved the accuracy and comprehensiveness of identification, reduced the cost of manual analysis, provided scientific and technical support, and laid the foundation for the stable operation of the supply chain.
Smart Images
Figure CN122414904A_ABST