A comparison of TOPSIS, grey relational analysis and COPRAS methods for machine selection problem in the food industry of Turkey

<div data-canvas-width="540.0693333333334">The paper aims to compare the results of selection/choice cream separators by using multi-criteria decision-making methods in an integrated manner for enterprise with a dairy processing capacity 80 100 tons per day operating Turkish food sector. A total 7 alternative products and criteria milk were determined. Criterion weights calculated entropy method then into TOPSIS (Technique Order Preference Similarity Ideal Solutions), GRA (Grey Relational Analysis) COPRAS (Complex Proportional Assessment) methods. Sensitivity analyses carried out on obtained from three check their reliability. At end study, similar appropriate found However, different but or suitable method. analysis showed that all used valid. In review available related literature, very few studies machine selection sector general found. For this reason, it is thought study will contribute process companies choice machinery selections. As far as known, first attempt extant literature TOPSIS, considered study.</div>