The paper presents a novel fuzzy Data Envelopment Analysis (DEA) technique for supplier selection under uncertainty. Uncertain input and output data characterizing suppliers are estimated through triangular fuzzy numbers. The resulting fuzzy triangular efficiency is determined by using only a set of weights, derived as a compromise between objectives. The obtained results are defuzzified and compared in order to rank suppliers. The presented method is applied for the evaluation of a set of candidate suppliers of an SME located in Southern Italy, showing the ease of application and the discriminative power between different suppliers under uncertain data
A novel fuzzy Data Envelopment Analysis methodology for performance evaluation in a two-stage supply chain / Costantino, N.; Dotoli, M.; Epicoco, N.; Falagario, M.; Sciancalepore, Fabio. - (2012), pp. 6386424.974-6386424.979. ( IEEE 8th International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012 Seoul, South Korea August 20-24, 2012) [10.1109/CoASE.2012.6386424].
A novel fuzzy Data Envelopment Analysis methodology for performance evaluation in a two-stage supply chain
Costantino, N.;Dotoli, M.;Epicoco, N.;Falagario, M.;Sciancalepore, Fabio
2012
Abstract
The paper presents a novel fuzzy Data Envelopment Analysis (DEA) technique for supplier selection under uncertainty. Uncertain input and output data characterizing suppliers are estimated through triangular fuzzy numbers. The resulting fuzzy triangular efficiency is determined by using only a set of weights, derived as a compromise between objectives. The obtained results are defuzzified and compared in order to rank suppliers. The presented method is applied for the evaluation of a set of candidate suppliers of an SME located in Southern Italy, showing the ease of application and the discriminative power between different suppliers under uncertain dataI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
