Authors: M. Bahar Baskir; I. Burhan Turksen; Omer Saatcioglu
Addresses: Department of Statistics, Faculty of Science, Bart?n University, 74100, Bart?n, Turkey ' Department of Industrial Engineering, TOBB University of Economy and Technology, 06560, Ankara, Turkey ' Department of Industrial Engineering, TOBB University of Economy and Technology, 06560, Ankara, Turkey
Abstract: Organisations need for an effective supplier selection system towards attaining the competition advantages in the market. In this paper, we propose an alternative supplier selection framework integrated by fuzzy c-means, belief-based quality function deployment, fuzzy weighted average, and a proposed fuzzy decision measure. This framework consists of three phases. In the first phase, we present the potential assessments for a supplier selection and their uncertainty descriptions. We divide supplier assessments into two parts: 1) expert assessments using combined belief-based quality function deployment and fuzzy weighted average; 2) system assessments comprised of a multi input-single output system. In the second phase, we analyse uncertainties of both expert and current systems using the well-known fuzzy c-means. In the third phase, we propose a fuzzy decision measure to complete the supplier selection procedure with finding the most appropriate supplier. We apply this framework to supplier selection process of a Turkish Machinery Corporation.
Keywords: supplier selection; FCM; belief space; QFD; FWA; fuzzy decision measure.
International Journal of Applied Management Science, 2017 Vol.9 No.3, pp.169 - 187
Received: 01 Feb 2016
Accepted: 12 Jul 2016
Published online: 08 Sep 2017 *