Title :
Analysis and Recognition for Industry Characteristics of Emergency in Supply Chain Based on Fuzzy Clustering
Author :
Xu Lei ; Dong Qianli ; Liu Kaizheng
Author_Institution :
Sch. of Econ. & Manage., Chang´an Univ., Xi´an, China
Abstract :
To find the industry characteristics of emergency in supply chain and to solve the problem of recognition about that. The paper established causation factor indexes system of emergency in supply chain based on systems analytical method, and at the same time, put forward a industry characteristics recognition model for emergency supply chain based on fuzzy clustering utilizing fuzzy similarity relation, fuzzy equivalence relation and fuzzy equivalence matrix. An empirical analysis is carried out to find the characteristics of IT, chemical, auto, transportation and other 6 industries under supply chain emergency, which indicates that IT, medicine and chemical, transportation, agriculture, steel have similar characteristics of supply chain emergency respectively, and the established model is applicable for solving the problem.
Keywords :
emergency services; fuzzy set theory; matrix algebra; pattern clustering; production engineering computing; supply chain management; causation factor indexes system; emergency supply chain; fuzzy clustering; fuzzy equivalence matrix; fuzzy equivalence relation; fuzzy similarity relation; industry characteristic recognition; industry characteristic recognition model; system analytical method; Analytical models; Character recognition; Chemicals; Indexes; Industries; Materials; Supply chains; characteristics recognition; emergency in supply chain; fuzzy clustering; logistics engineering and management;
Conference_Titel :
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-7669-5
Electronic_ISBN :
978-1-4244-7670-1
DOI :
10.1109/ISME.2010.249
