TY - GEN
T1 - Uncertainty modelling in supply chain management
T2 - 10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
AU - Kabak, Özgür
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84892650577&partnerID=8YFLogxK
U2 - 10.1142/9789814417747_0087
DO - 10.1142/9789814417747_0087
M3 - Conference contribution
AN - SCOPUS:84892650577
SN - 9789814417730
T3 - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
SP - 541
EP - 546
BT - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
PB - World Scientific Publishing Co. Pte Ltd
Y2 - 26 August 2012 through 29 August 2012
ER -