UNCERTAINTY MODELLING IN SUPPLY CHAIN MANAGEMENT: THE TREND IN THE USE OF FUZZY SET THEORY


Kabak O.

10th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), İstanbul, Turkey, 26 - 29 August 2012, vol.7, pp.541-546 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 7
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.541-546

Abstract

Supply chain management (SCM) has been considered as one of the most important operations strategy for improving competitiveness of organizations in the last decades. While managing the supply chain (SC) effectively one of the essential problems is the uncertainties that should be treated properly. Fuzzy set theory allows for a conceptual and theoretical framework for dealing with uncertainties in SC problems. In this paper we investigate the trend in the SC articles that use fuzzy set theory through the years, and the focus of fuzzy set theory in SC modeling. We find that the number of related articles growing exponentially and it is mostly due to the rising interest of the fuzzy environment researchers to SCM. Additionally we find that the demand is the most studied type of uncertainty in fuzzy SC modeling.