Title :
Supply Chain Management Performance Evaluation Based on Fuzzy Analytical Network Process
Author_Institution :
Dept. of Manage., Tianjin Univ. of Technol., Tianjin, China
Abstract :
Supply chain management has attracted much attention from both practitioners and researchers. With the scope of this paper, 3 first-level indices and 9 second-level indices were chosen to construct a supply chain management performance evaluation indices system on the basis of research both domestic and international on supply chain management. Analytic network process (ANP) was adopted to model a multicriteria supply chain management performance evaluation indices system with dependence and feedback. Due to complexity in evaluating supply chain management indices system, it is difficult for decision-makers to provide exact numerical values for the factors. Therefore, a fuzzy ANP method was taken to calculate the weights of factors and sub-factors of the model, which can solve problems in an uncertain condition effectively.
Keywords :
fuzzy set theory; performance evaluation; supply chain management; fuzzy analytical network process; performance evaluation indices system; supply chain management indices system; Costs; Data envelopment analysis; Feedback; Fuzzy systems; Logistics; Manufacturing; Performance analysis; Supply chain management; Supply chains; Technology management;
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
DOI :
10.1109/ICMSS.2009.5303603