APPLICATION OF FUZZY AHP AND TOPSIS METHODS FOR MANAGER SELECTION
Abstract
The purpose of this study is to identify the criteria that are important for company owners operating in textile industry when selecting a manager. In order to determine these criteria, Multi-Criteria Decision Making (MCDM) techniques are uesd. In today's global and competitive market conditions, the selection of managers for company owners is a multivariate decision-making problem involving multiple criteria. In line with the purpose of the study, firstly, the criteria used in the selection of the managers were determined with a literature review. Four main criteria were determined by interviewing experts based on the determinant criteria. These criteria are determined as work experience, management skills, professional competence, and trust. These four criteria determined within the scope of the research were assessed by the company owners using linguistic variables. The weight of each criterion was determined by using the Fuzzy Analytical Hierarchy Process (FAHP) technique based on pairwise comparisons by means of linguistic variables. According to the results, it was determined that the most important criterion for manager selection in the textile industry is work experience. Then it was determined that trust, management skills, and professional competence came respectively. In the final stage of the implementation, a case study was performed using the fuzzy TOPSIS method and a sensitivity analysis and comparative comparison to check the robustness of the results. In order to test the validity of the proposed method, the decision problem is also analyzed with fuzzy EDAS and fuzzy SAW approaches. As a result, it has been determined that each method’s ranking result is similar and offers realistic solutions. From this perspective, the study presents a new model proposal to the literature as it uses the fuzzy EDAS and fuzzy SAW methods as well as the integrated fuzzy AHP and fuzzy TOPSIS methods in the selection of professional managers in textile industry. With the help of expert opinions in the textile sector, the study has shown that the selection of manager process can be easily solved with MCDM techniques and that the fuzzy TOPSIS method generates logical and reliable results
Keywords
Manager Selection, Agency Theory, Textile Sector, FAHP, MCDM
References
- Afshari, A. R. (2015), ‘‘Selection of construction project manager by using Delphi and fuzzy linguistic decision making’’, Journal of Intelligent & Fuzzy Systems, 28,2827-2838.
- Afshari, A. R.; Kowal, J. (2015), ‘‘Decision making methods for the selection of ICT project manager’’, Gospodarka Rynek Edukacja 18(4),19-28. Akça, N.; Sönmez, S.; Gür, Ş.; Yılmaz, A.; Eren, T. (2018), ‘‘Kamu hastanelerinde analitik ağ süreci yöntemi ile finans yöneticisi seçimi’’, Optimum Ekonomi ve Yönetim Bilimleri Dergisi, 5(2),133-146.
- Akın, N. G. (2016), ‘‘Personel seçiminde çok kriterli karar verme: bulanık topsis uygulaması’’, İşletme Araştırmaları Dergisi 8(2), 224-254.
- Arı, G. S. (2003), ‘‘Yöneticiye duyulan güven bağlılığı artırır mı?’’, Gazi Üniversitesi Ticaret ve Turizm Eğitim Fakültesi Dergisi (2), 1-25.
- Biswas, T.; Akash, S.; Saha, S. (2018), ‘‘A Fuzzy-AHP Method for Selection Best Apparel Item to Start-Up with New Garment Factory: A Case Study in Bangladesh’’, International Journal of Research in Industrial Engineering, 32-50.
- Chang, D. Y. (1996), ‘‘Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research’’, 95, 649-655.
- Chen, C. T.; Hung, W. Z. (2012), ‘‘Choosing project leader based on interval linguistic TOPSIS and social network technology’’, 2012 International Conference on Fuzzy Theory and it's Applications, 16-18 November, Taichung, Taiwan, Proceedings, 310-315.
- Dainty, A. R.; Cheng, M. I.; Moore, D. R. (2005), ‘‘Competency-based model for predicting construction project managers’ performance’’, Journal of Management in Engineering, 21, 2-9.
- Dhiman, H.; Deb, D. (2020), ‘‘Fuzzy TOPSIS and fuzzy COPRAS based multi-criteria decision making for hybrid wind farms’’. Energy, 202, 1-10. Dinçer, Ö.; Fidan, Y. (1999), İşletme Yönetimine Giriş. 4. Baskı, İstanbul: Beta Yayınevi
- Dodangeh, J.; Sorooshian, S.; Afshari A. R. (2014), ‘‘Linguistic extension for group multicriteria project manager selection’’, Journal of Applied Mathematics 2014, 1-8.