Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 121-122)
Edited by
Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo
Pages
309-313
DOI
10.4028/www.scientific.net/AMR.121-122.309
Citation
F. Jiang, J. Zhao, H. L. Ge, "Research on the Application of Improved Association Rule Algorithm in Supply Chain Management", Advanced Materials Research, Vols. 121-122, pp. 309-313, 2010
Online since
June 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Lu Na Byon, Jeong Hye Han
Abstract:As electronic commerce progresses, temporal association rules are developed by time to offer personalized services for customer’s interests....
287
Authors: Zhong Ping Zhang, Yong Xin Liang
Abstract:This paper proposes a new data stream outlier detection algorithm SODRNN based on reverse nearest neighbors. We deal with the sliding window...
1032
Authors: Chun Yu Ren
Abstract:The paper is focused on the Min-Max Vehicle Routing Problem (MMVRP). Tabu search algorithm is an algorithm based on neighborhood search....
160
Authors: Hai Feng Li, Ning Zhang
Chapter 1: Transportation & Service Science
Abstract:Maximal frequent itemsets are one of several condensed representations of frequent itemsets, which store most of the information contained in...
21
Authors: Jun Tan
Chapter 12: Computer-Aided Design and Applications in Industry and Civil Engineering
Abstract:Online mining of frequent closed itemsets over streaming data is one of the most important issues in mining data streams. In this paper, we...
2910