Title :
Research on Supply Chain Information Classification Based on Information Value and Information Sensitivity
Author :
Xianliang Shi ; Li, Dong ; Zhu, Hailong ; Zhang, Wenjie
Author_Institution :
Beijing Jiaotong Univ., Beijing
Abstract :
Information plays a very important role in supply chain management. Through effective information management, the operational efficiency and competitiveness of supply chain can be improved. Classifying information reasonably can improve information management, maximize the role of information, and reduce the difficulty and cost of information management. This article, on the basis of the in-depth analysis of the major factors influencing information value and information sensitivity, has built a V-S Axis Information Classification Model based on information value and information sensitivity. This model includes the value engineering model for evaluating information value and the grey clustering model for evaluating information sensitivity. It can perform quantitative analysis to supply chain information. In addition, the article has also provided examples of algorism for the above-mentioned models.
Keywords :
grey systems; information management; supply chain management; value engineering; V-S axis information classification model; grey clustering model; information management; information sensitivity; information value; supply chain information classification; supply chain management; value engineering model; Control systems; Costs; Customer service; Information analysis; Information management; Information security; Performance analysis; Protection; Supply chain management; Supply chains; grey theory; information classification; information sensitivity; information value; value engineering;
Conference_Titel :
Service Systems and Service Management, 2007 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
1-4244-0885-7
Electronic_ISBN :
1-4244-0885-7
DOI :
10.1109/ICSSSM.2007.4280248