Title: A QFD-ANP methodology for supplier selection under perspective of requirements in automotive industry

Authors: Abbas Keramati; Neda Ahmadizadeh-Tourzani; Salman Nazari-Shirkouhi; Ebrahim Sharifi Teshnizi; Behzad Ashjari

Addresses: College of Engineering, School of Industrial and Systems Engineering, University of Tehran, P.O. Box 11155-4563, Tehran, Iran ' Faculty of Engineering, Department of Industrial Engineering, University of Tafresh, Iran ' College of Engineering, School of Industrial and Systems Engineering, University of Tehran, P.O. Box 11155-4563, Tehran, Iran ' Faculty of Engineering, Department of Industrial Engineering, University of Tafresh, Iran ' Faculty of Engineering, Department of Industrial Engineering, University of Tafresh, Iran

Abstract: The supplier selection is a multi-criteria decision making problem. The supplier selection problem considers massive and strategically important costs for companies. In the present paper, cost factors for supplier selection are considered through the quality function deployment-analytic network process (QFD-ANP) methodology. This integrated approach classifies criteria into two categories customers' needs and engineering requirements. Customers needs' degree of importance and engineering requirements' degree of importance are calculated through the ANP methodology and the QFD relationship matrix, respectively. It might be possible to consider the amounts of costs and objective factor measure (OFM) concurrently using a mathematical model. A case study has been conducted in a reputable automotive company. The results show that the integrated QFD-ANP methodology is an effective method in the supplier selection problem within companies.

Keywords: multicriteria decision making; MCDM; supplier selection; quality function deployment; QFD; analytical network process; ANP; automotive suppliers; automobile industry; costs; customer needs; engineering requirements; mathematical modelling.

DOI: 10.1504/IJPQM.2014.065560

International Journal of Productivity and Quality Management, 2014 Vol.14 No.4, pp.492 - 517

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 29 Oct 2014 *

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