Research on the Application of Improved Association Rule Algorithm in Supply Chain Management

Abstract:

Effective Supply Chain Management (SCM) approach must focus on flexible supply and production processes as well as rapidly respond to change of customer demands. To make up of existing drawbacks of association rule data mining algorithm, the paper brought out an improved algorithm and applies it in the product relativity analysis of SCM. Based on the algorithm, the solution of how the parts be arranged can achieve more cost-effective and higher profits can be achieved by data mining. The mining result can not only guide customers to correctly shopping, but also help manufacturers to design and produce goods, so that the companies can be in a better competitive position.

• Periodical: Advanced Materials Research (Volumes 121-122)
• Pages: 309-313
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.121-122.309
• Online since: June 2010
• Authors: Fang Jiang, Jie Zhao, Han Lin Ge
• Keywords: Apriori Algorithm, Association Rule, Data Mining (DM), Supply Chain Management (SCM)

References

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DOI: 10.1145/170036.170072

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