Recognition for Causation Factor Characteristics of Emergency in Supply Chain Based on Principal Component and Clustering Analysis

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.