Title :
Recognition for Causation Factor Characteristics of Emergency in Supply Chain Based on Principal Component and Clustering Analysis
Author :
Xu Lei ; Dong Qianli ; Liu Kaizheng
Author_Institution :
Sch. of Econ. & Manage., Chang´an Univ., Xi´an, China
Abstract :
To solve the problem of recognize the causation factor characteristics of emergency in supply chain in different industries, the paper established causation factor index system of emergency in supply chain based on system analytical method, and at the same time, put forward a causation factor characteristics recognition model for emergency in supply chain based on principal component analysis and clustering analysis that utilize eigenvalue and eigenvector of correlation matrix, comprehensive score of principal component and clusering. An empirical analysis is carried out to find the causation factor characteristics of IT, chemical, auto, transportation and other 6 industries under supply chain Emergency, which indicate that the established model is applicable for solving the problem.
Keywords :
correlation methods; eigenvalues and eigenfunctions; matrix algebra; pattern clustering; principal component analysis; supply chain management; causation factor characteristics; clustering analysis; correlation matrix; eigenvalue; eigenvector; principal component analysis; recognition model; supply chain; system analytical method; Character recognition; Eigenvalues and eigenfunctions; Indexes; Industries; Materials; Principal component analysis; Supply chains;
Conference_Titel :
Logistics Engineering and Intelligent Transportation Systems (LEITS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8776-9
Electronic_ISBN :
978-1-4244-8778-3
DOI :
10.1109/LEITS.2010.5665022
