The paper deals with a key objective of the strategic purchasing function in supply chain management, namely vendor evaluation and selection. We propose a novel formulation of the so-called Data Envelopment Analysis (DEA) technique that overcomes some known drawbacks of DEA in the application to supplier selection in the enterprise integration, New constraints are introduced in the DEA method in order to better mimic the buyer behavior. We call the resulting approach DEA-P (DEA Percentage) because it allows the decision maker to compare the different supplier evaluation criteria by assigning a percentage index expressing the importance of each criterion. A simulated case study demonstrates the effectiveness of the novel method for supplier selection optimization
A novel formulation of the DEA model for application to supplier selection / Dotoli, Mariagrazia; Falagario, Marco; Mangini, Agostino Marcello; Sciancalepore, Fabio. - STAMPA. - (2010). (Intervento presentato al convegno 15th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2010 tenutosi a Bilbao, Spain nel September 13-16, 2010) [10.1109/ETFA.2010.5749382].
A novel formulation of the DEA model for application to supplier selection
Mariagrazia Dotoli;Agostino Marcello Mangini;Fabio Sciancalepore
2010-01-01
Abstract
The paper deals with a key objective of the strategic purchasing function in supply chain management, namely vendor evaluation and selection. We propose a novel formulation of the so-called Data Envelopment Analysis (DEA) technique that overcomes some known drawbacks of DEA in the application to supplier selection in the enterprise integration, New constraints are introduced in the DEA method in order to better mimic the buyer behavior. We call the resulting approach DEA-P (DEA Percentage) because it allows the decision maker to compare the different supplier evaluation criteria by assigning a percentage index expressing the importance of each criterion. A simulated case study demonstrates the effectiveness of the novel method for supplier selection optimizationI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
