Title :
A fuzzy approach for evaluating the performance of supply chain based on Internet of Things
Author_Institution :
Fac. of Bus. Inf., Central Queensland Univ., Melbourne, VIC, Australia
Abstract :
This paper presents a fuzzy approach for evaluating the performance of supply chain based on Internet of Things (IoT). The multi-dimensional nature of the evaluation process is handled in the context of multicriteria analysis. Linguistic terms approximated by triangular fuzzy numbers are used to tackle the subjectiveness and imprecision of the human evaluation process. An efficient algorithm is developed for producing a performance index for every supply chain based on IoT alternative across all selection criteria. A multicriteria decision support system is proposed to facilitate the evaluation process. An example is presented for demonstrating the applicability of the approach.
Keywords :
Internet of Things; approximation theory; decision support systems; fuzzy set theory; production engineering computing; supply chain management; Internet-of-Things; IoT; approximation; fuzzy approach; human evaluation process; linguistic term; multicriteria analysis; multicriteria decision support system; supply chain performance; triangular fuzzy number; Automation; Conferences; Control systems; Decision support systems; Intelligent systems; Manganese; Internet of Things; multicriteria analysis; performance evaluation; subjectiveness and imprecision;
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2012 IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4673-1420-6
DOI :
10.1109/CYBER.2012.6392565