Optimal design of transportation distance in logistics supply chain model based on data mining algorithm

2018 ◽  
Vol 22 (S2) ◽  
pp. 3943-3952
Author(s):  
Jian Li
Keyword(s):  
Data Mining ◽  
Supply Chain ◽  
Optimal Design ◽  
Chain Model ◽  
Data Mining Algorithm ◽  
Model Based ◽  
Mining Algorithm ◽  
Supply Chain Model ◽  
Transportation Distance

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

2010 ◽  
Vol 121-122 ◽  
pp. 309-313
Author(s):  
Fang Jiang ◽  
Jie Zhao ◽  
Han Lin Ge
Keyword(s):  
Data Mining ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Association Rule ◽  
Cost Effective ◽  
Data Mining Algorithm ◽  
Chain Management ◽  
Competitive Position ◽  
Production Processes ◽  
Mining Algorithm

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.

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