Sharif University of Technology Scientia Iranica 1026-3098 28 5 2021 10 01 An integrated fuzzy QFD-MCDM framework for personnel selection problem 2972 2986 21699 10.24200/sci.2019.52320.2657 EN E. Ozgormus Department of Industrial Engineering, Kinikli Campus, Pamukkale University, Kinikli, 20070, Denizli, Turkey A. Senocak Department of Industrial Engineering, Kinikli Campus, Pamukkale University, Kinikli, 20070, Denizli, Turkey H. G. Goren Department of Industrial Engineering, Kinikli Campus, Pamukkale University, Kinikli, 20070, Denizli, Turkey Journal Article 2018 11 23 In today’s competitive and high technology world, companies are forced to differentiate themselves with continuous improvement. They need creative, well-educated and self-confident human resource more than ever. Hiring the right person to the right job plays a significant role on firm’s growth. The goal of this paper is to propose a systematic approach for personnel selection problem (PSP) of a textile company in Turkey by considering various performance requirements and criteria. The proposed framework consists of three phases. Initially, Fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) method is used for weighting social criteria. Then, weights of technical requirements are calculated by applying Fuzzy Quality Function Deployment (QFD) method allowing to evaluate the interrelationships and correlation of social and technical criteria. Finally, Fuzzy Grey Relational Analysis (GRA) method has been applied to rank the alternatives by considering criteria scores acquired in the previous phase. The method has been illustrated by a case study and compared to the current approach used in the company. The results indicate that this proposed approach can deal with the PSP effectively and help companies to establish a systematic and unbiased way for the problem. https://scientiairanica.sharif.edu/article_21699_fd760aab96b3dd9182aff99e9d684fd7.pdf