Fuzzy Applications of FUCOM Method in Manufacturing Environment
Öz
Conventional manufacturing methods are limited in the machining of newly developed high strength, precision / brittle and complex shaped parts. Non-conventional manufacturing methods are required to machine such parts. Choosing the most suitable manufacturing method for the part is a vital decision-making problem and the solution of this problem is very important for today's manufacturers. In this study, three different Full Consistency Method (FUCOM) methods were combined with fuzzy Technique for Order Preference by Similarity to Ideal Solution method (fuzzy TOPSIS) and fuzzy weighted aggregated sum product assessment (fuzzy WASPAS) techniques. In order to test these developed methods, the selection of non-traditional manufacturing methods from the literature was taken as a case study. It is seen that the model produced successful results.
Anahtar Kelimeler
Kaynakça
- 1. Roberts, R. and Goodwin, P. (2002) Weight approximations in multi-attribute decision models. J. Multicrit. Decis. Anal.11, 291–303.
- 2. Solymosi, T. and Dompi, J. (1985) Method for determining the weights of criteria: The centralized weights. Eur. J. Oper. Res. 26, 35–41.
- 3. Cook,W.D. (2006) Distance-based and ad hoc consensus models in ordinal preference ranking. Eur. J. Oper. Res.172, 369–385.
- 4. Weber, M. (1993) Borcherding, K. Behavioral influences on weight judgments in multiattribute decision making. Eur. J. Oper. Res. 67, 1–12.
- 5. Zhu, G.N., Hu, J., Qi, J., Gu, C.C., Peng, J.H. (2015) An integrated AHP and VIKOR for design concept evaluation based on rough number. Adv. Eng. Inform. 29, 408–418.
- 6. Zavadskas, E.K.,Govindan, K., Antucheviciene, J.,Turskis, Z. (2016) Hybrid multiple criteria decision-making methods: A review of applications for sustainability issues. Econ. Res.-Ekonomska Istraživanja,29, 857–887.
- 7. Madić, M., Radovanović, M., Petković, D, (2015) Non-conventional machining processes selection using multi-objective optimization on the basis of ratio analysis method, Journal of Engineering Science and Technology, (10)11,1441-1452.
- 8. Khandekar, A. V., Chakraborty, S. (2016) Application of fuzzy axiomatic design principles for selection of non-traditional machining processes, International Journal of Advanced Manufacturing Technology, 83(1-4), 529-543.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Yayımlanma Tarihi
1 Mart 2020
Gönderilme Tarihi
4 Temmuz 2019
Kabul Tarihi
17 Eylül 2019
Yayımlandığı Sayı
Yıl 2020 Cilt: 23 Sayı: 1
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