TY - GEN
T1 - Fuzzy expert system for forecasting return amount in reverse logistics
AU - Temur, Gül Tekin
AU - Balcilar, Muhammet
AU - Bolat, Bersam
PY - 2012
Y1 - 2012
N2 - Depending on decrease in natural resources and increase in perception of people on environment, governments have begun to attach much importance to legal regulations for protecting environment. In consequence of legal enforcements and customer perception, all actors in the business area are forced to operate recovery activities for getting value from used or scrapped products. In reverse logistics (RL) which includes the control of backward move of goods, for the actors it becomes hard to make scheduling regarding to amount and time of returned products. Because in the uncertain nature of RL, it is not easy to know how much products will return at a given time. Therefore, in this study a fuzzy expert system is proposed for forecasting return amount. An application at an electrical and electronic equipment recycling (e-recycling) facility is conducted for clarifying how the method is used in a real decision process.
AB - Depending on decrease in natural resources and increase in perception of people on environment, governments have begun to attach much importance to legal regulations for protecting environment. In consequence of legal enforcements and customer perception, all actors in the business area are forced to operate recovery activities for getting value from used or scrapped products. In reverse logistics (RL) which includes the control of backward move of goods, for the actors it becomes hard to make scheduling regarding to amount and time of returned products. Because in the uncertain nature of RL, it is not easy to know how much products will return at a given time. Therefore, in this study a fuzzy expert system is proposed for forecasting return amount. An application at an electrical and electronic equipment recycling (e-recycling) facility is conducted for clarifying how the method is used in a real decision process.
UR - http://www.scopus.com/inward/record.url?scp=84892630406&partnerID=8YFLogxK
U2 - 10.1142/9789814417747_0151
DO - 10.1142/9789814417747_0151
M3 - Conference contribution
AN - SCOPUS:84892630406
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 - 942
EP - 947
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
T2 - 10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
Y2 - 26 August 2012 through 29 August 2012
ER -
