Abstract:

Today, industrial activities are undoubtedly one of the most important parameters when it comes to the development of countries. In all areas of the industry, a large part of the mechanical work is carried out by electric motors. Because it is so widely used, there is a large market, a large customer base, and therefore a large number of electric motor manufacturers. Due to the high number of producers, customers should make a purchase decision away from subjectiveity when choosing an electric motor. In this study, an objective approach to selection of asynchronous electric motor was tried to be made by using multi criteria decision making techniques. In this frame, the datas were collected for one of the most commonly used asynchronous motor in the industry. This motor was selected randomly as 90 kW, 1500 rpm, B3 body type electric motor. The datas are collected from three different companies' electric motors, which constitute a certain weight in the sector. The criteria for these different asynchronous motors were solved by TOPSIS, MOORA, VIKOR methods. With basic descriptions about these methods, the results of methods on asynchronous motor selection were compared. The opinions of the decision makers currently working in the sector together with the motor data were taken and the criterial weights were realized in this direction. As a result of comparison, TOPSIS and MOORA methods indicated that M3 electric motor is the best choice. The VIKOR method, in combination with the M3, also determined the M2 engine as the best choice. This is the result of VIKOR's involvement of the decision maker's intuitive weights in the process. TOPSIS and MOORA methods have yielded reliable results such as similar studies.

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