• DocumentCode
    583204
  • Title

    A fuzzy approach for evaluating the performance of supply chain based on Internet of Things

  • Author

    Wibowo, Santoso

  • Author_Institution
    Fac. of Bus. Inf., Central Queensland Univ., Melbourne, VIC, Australia
  • fYear
    2012
  • fDate
    27-31 May 2012
  • Firstpage
    275
  • Lastpage
    280
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/CYBER.2012.6392565
  • Filename
    6392565