An integrated fuzzy MCDM approach for supplier evaluation and selection |
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| Affiliation: | 1. Business Systems and Analytics Department, Distinguished Chair of Business Systems and Analytics, La Salle University, Philadelphia, PA 19141, USA;2. Business Information Systems Department, Faculty of Business Administration and Economics, University of Paderborn, D-33098 Paderborn, Germany;3. Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia;4. Department of Mathematics and Statistics, York University, Toronto, M3J 1P3, Canada;5. Polo Tecnologico IISS G. Galilei, Via Cadorna 14, 39100, Bolzano, Italy;6. School of Economics and Management, Free University of Bolzano, 39100 Bolzano, Italy;7. Instituto Complutense de Estudios Internacionales, Universidad Complutense de Madrid, Campus de Somosaguas, 28223, Pozuelo, Spain;1. College of Economics and Management, China Jiliang University, Zhejiang 310018, PR China;2. School of Management, Shanghai University, Shanghai 200444, China;3. School of Electro-Mechanical Engineering, Xidian University, Xi’an 710071, China;4. Institute of Systems Engineering, Macau University of Science and Technology, Taipa, Macau |
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| Abstract: | A fuzzy multi-criteria group decision making approach that makes use of quality function deployment (QFD), fusion of fuzzy information and 2-tuple linguistic representation model is developed for supplier selection. The proposed methodology seeks to establish the relevant supplier assessment criteria while also considering the impacts of inner dependence among them. Two interrelated house of quality matrices are constructed, and fusion of fuzzy information and 2-tuple linguistic representation model are employed to compute the weights of supplier selection criteria and subsequently the ratings of suppliers. The proposed method is apt to manage non-homogeneous information in a decision setting with multiple information sources. The decision framework presented in this paper employs ordered weighted averaging (OWA) operator, and the aggregation process is based on combining information by means of fuzzy sets on a basic linguistic term set. The proposed framework is illustrated through a case study conducted in a private hospital in Istanbul. |
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| Keywords: | Supplier selection Quality function deployment Multi-criteria decision making Decision support Fuzzy methods 2-tuple linguistic representation |
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