The aim of this contribution is to present a novel decision technique for the strategic issue of supplier selection. The approach integrates the most important methodologies considered in the related literature about the supplier selection and their ranking: the Data Envelopment Analysis (DEA), the Technique for Order Preference by Similarities to Ideal Solution (TOPSIS), and the linear programming approach. We propose a three-step procedure that deploys the advantages of the three techniques to effectively rank suppliers according to their efficiency while requiring from each the appropriate supply, according to customers' demand.
A novel decision technique for the optimal supplier selection / Costantino, Nicola; Dotoli, Mariagrazia; Epicoco, Nicola; Falagario, Marco - In: 1st Workshop on the state of the art and challenges of research efforts at Politecnico di Bari : proceedings : 3-5 December 2014. Track C2: Research contributionsSTAMPA. - Roma : Gangemi, 2015. - ISBN 978-88-492-2967-7. - pp. 63-67
A novel decision technique for the optimal supplier selection
Nicola Costantino;Mariagrazia Dotoli;Nicola Epicoco;
2015-01-01
Abstract
The aim of this contribution is to present a novel decision technique for the strategic issue of supplier selection. The approach integrates the most important methodologies considered in the related literature about the supplier selection and their ranking: the Data Envelopment Analysis (DEA), the Technique for Order Preference by Similarities to Ideal Solution (TOPSIS), and the linear programming approach. We propose a three-step procedure that deploys the advantages of the three techniques to effectively rank suppliers according to their efficiency while requiring from each the appropriate supply, according to customers' demand.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
