We present a novel cross efficiency fuzzy Data Analysis (DEA) technique for supplier selection under uncertainty. In order to deal with uncertain input and output suppliers data, triangular fuzzy numbers are employed. A fuzzy triangular efficiency is associated to each supplier through a cross evaluation by a compromise between objectives. The results are defuzzified and a supplier ranking is determined. The method is applied to the evaluation of a set of candidate suppliers of an Italian SME, showing the ease of application and discriminative power among suppliers.
A cross efficiency fuzzy Data Envelopment Analysis technique for supplier evaluation under uncertainty / Costantino, Nicola; Dotoli, Mariagrazia; Epicoco, Nicola; Falagario, M; Sciancalepore, F.. - STAMPA. - (2012). (Intervento presentato al convegno 17th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2012 tenutosi a Krakow, Poland nel September 17-21, 2012) [10.1109/ETFA.2012.6489600].
A cross efficiency fuzzy Data Envelopment Analysis technique for supplier evaluation under uncertainty
COSTANTINO, Nicola;DOTOLI, Mariagrazia;EPICOCO, Nicola;
2012-01-01
Abstract
We present a novel cross efficiency fuzzy Data Analysis (DEA) technique for supplier selection under uncertainty. In order to deal with uncertain input and output suppliers data, triangular fuzzy numbers are employed. A fuzzy triangular efficiency is associated to each supplier through a cross evaluation by a compromise between objectives. The results are defuzzified and a supplier ranking is determined. The method is applied to the evaluation of a set of candidate suppliers of an Italian SME, showing the ease of application and discriminative power among suppliers.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
