The paper addresses a crucial objective of the strategic function of purchasing in supply chains, i.e., vendor rating, proposing a hierarchical model for supplier business intelligence. A three-level optimization process for supplier selection in a multiple sourcing strategy context is proposed. First, the Data Envelopment Analysis, the most widespread method for supplier selection, is used to evaluate the efficiency of suppliers. Second, the well-known Analytic Hierarchy Process is applied to rank the efficient suppliers given by the previous step. Third, a linear programming problem is solved to find the quantities to order from each efficient supplier. We show the model effectiveness on a simulated case study of a C class component.
A hierarchical vendor selection optimization technique for multiple sourcing / Dotoli, M.; Falagario, M.. - STAMPA. - (2010), pp. 195-200. (Intervento presentato al convegno International Conference on Knowledge Management and Information Sharing, KMIS 2010 tenutosi a Valencia, Spain nel October 25-28, 2010) [10.5220/0003088801950200].
A hierarchical vendor selection optimization technique for multiple sourcing
Dotoli, M.;
2010-01-01
Abstract
The paper addresses a crucial objective of the strategic function of purchasing in supply chains, i.e., vendor rating, proposing a hierarchical model for supplier business intelligence. A three-level optimization process for supplier selection in a multiple sourcing strategy context is proposed. First, the Data Envelopment Analysis, the most widespread method for supplier selection, is used to evaluate the efficiency of suppliers. Second, the well-known Analytic Hierarchy Process is applied to rank the efficient suppliers given by the previous step. Third, a linear programming problem is solved to find the quantities to order from each efficient supplier. We show the model effectiveness on a simulated case study of a C class component.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.