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.
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.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Research Article |
Authors | |
Publication Date | March 1, 2020 |
Submission Date | July 4, 2019 |
Published in Issue | Year 2020 Volume: 23 Issue: 1 |
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