Determination of Supplier Selection For 1-Phase Induction Motor Used in Hoods by Fuzzy TOPSIS Method
Abstract
Hoods are the most important devices used in our kitchens that contribute to the ventilation of the environment. 95% of the electric motors used in hoods are single-phase asynchronous motors. There are many domestic and foreign electric motor manufacturers producing for the hood industry. Supplier selection in companies producing hoods is vital and critical for sustainable production. It is extremely important to make the right decision in the purchasing process of the supplied products. While the decisions taken can sometimes be clearly separated from each other, sometimes they can be intertwined and interconnected. Multi criteria decision making techniques are used when making decisions that cannot be clearly separated or explained with numerical data. The aim of this study was to determine the most suitable Supplier for the built-in appliance company operating in the Turkiye/Amasya region by using fuzzyTOPSIS method in the supply of 1-phase asynchronous motors used in hoods. After 5 experts working in the company were determined as decision makers, 4 criteria were determined: quality, system capacity, finance and logistics performance. The best supplier selection among 6 different suppliers was made using this method. For the first time, a solution proposal was presented with the fuzzyTOPSIS technique for the 1-phase induction motor supplier selection and a contribution was made to the literature.
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References
- Aydemir, S,.B., Gunduz, S.,(2020). Fermatean fuzzy TOPSIS method with Dombi aggregation operators and its application in multi-criteria decision making. Journal of Intelligent & Fuzzy Systems, 39, 851-869.
- Bilgili,F., Zarali, F., Ilgün, M.F, , Dumrul ,C., ve Dumrul,Y.,(2022). The evaluation of renewable energy alternatives for sustainable development in Turkey using intuitionistic fuzzy-TOPSIS method. Renewable Energy, 189, 1443-1458.
- Bozdağ, C. E., Kahraman, C., ve Ruan, D. (2003). Fuzzy group decision making for selection among computer integrated manufacturing systems. Computers in Industry, 51(1), 13-29.
- Cakar, T., Çavuş, B., (2021). Supplier selection process in dairy industry using fuzzy TOPSIS method. Operational Research in Engineering Sciences: Theory and Applications,4, 82-98.
- Chen, C.T., (2000). Extensions of the Topsis for Group Decision-Making Under Fuzzy Environment. Fuzzy Sets and Systems. 114(1), 1-9.
- Chen, C.T., Lin,C.T., ve Huang, S.F., (2006). A Fuzzy Approach for Supplier Evaluation and Selection in Supply Chain Management. International Journal of Production Economies, 102(2), 289-301.
- Doğanalp, B., (2016). Bulanık Çok Kriterli Karar Verme İle Öğretim Üyesi Değerleme Çalışması. Kastamonu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 12(1), 498-517.
- Govil,N., Sharma, A.,(2022). Validation of agile methodology as ideal software development process using Fuzzy-TOPSIS method. Advances in Engineering Software,168 ,103-125.
- Gündoğdu, F., Kahraman, C. (2019). A novel fuzzy TOPSIS method using emerging interval-valued spherical fuzzy sets. Engineering Applications of Artificial Intelligence, 85, 307-323.
- Han, H., Trimi, S. (2018). A fuzzy TOPSIS method for performance evaluation of reverse logistics in social commerce platforms. Expert Systems with Applications, 103, 133-145.
