Critiquing and advancing MCDM-Based machining centre selection models: a new approach integrating machine element capabilities, machining characteristics, and industrial requirements

In this study, a pre-election-ranking procedure is developed using the AHP and TOPSIS methods, and the obtained results are analyzed. Secondly, a procedure using combined machine element characteristics in the AHP-TOPSIS methods and comparing these two different perspectives is analyzed for real cases. A final selection model is offered using a trapezoidal fuzzy number integrated TOPSIS-Machining characteristics evaluation combined model to better understand which CNC machine tool is suitable for the manufacturing company, considering its production system characteristics based on the processed materials, production system type, and appropriateness. One of the most important contributions of this paper is that it uses material processing capabilities for the criteria weighting procedure supported by a fuzzy logic perspective, except for the straightforward multi-criteria decision-making (MCDM) models or their fuzzy extensions to rank machining centers based on the catalogue values and expert opinion reflected in the criteria weighting approaches.