Application of MEREC in Multi-Criteria Selection of Optimal Spray-Painting Robot

Robots are being increasingly utilized for various operations in industrial and household applications. One such application is spray painting, wherein atomized paint particles sprayed on a surface to coat the with paint. As there different models of robots available job, it becomes crucial select best among them. Multi-criteria decision-making (MCDM) techniques widely used fields tackle selection problems where many conflicting criteria several alternatives. This work focuses selecting robot twelve alternatives based seven criteria, which payload, speed, reach beneficial while mechanical weight, repeatability, cost, power consumption cost criteria. Five MCDM techniques, namely combination distance-based assessment (CODAS), complex proportional (COPRAS), combined compromise solution (CoCoSo), multi-attributive border approximation area comparison (MABAC), višekriterijumsko kompromisno rangiranje (VIKOR) were weight calculation was performed using an objective technique called MEREC. HY1010A-143 found be most suitable spray-painting applications by four five used. Correlation studies showed significant level correlation all techniques.