AHP-MOORA Approach for Industrial Robot Selection in Car Paint: An Industrial Case Study

Industrial robots are crucial elements of advanced manufacturing technologies because they allow manufacturing companies to generate high-quality products affordably. Industrial robots may carry out a wide range of operations, including welding, painting, assembling, disassembly, placing printed circuit boards precisely, palletizing, packaging, labeling, and product testing. All features are completed with extreme endurance, quickness, and accuracy. Several competing parameters that must be taken into account simultaneously in a thorough selection process affect how well industrial robots function. The practical method for choosing an industrial robot for vehicle painting activities is presented in this study article. It streamlines the decision-making process by combining the Analytical Hierarchy Process (AHP) and Multi-Objective Optimization by Ratio Analysis (MOORA) methods. It is a strategy that is used to rank and evaluate alternatives while taking into account their relative importance and effectiveness. The ranking derived using the MOORA method is displayed. The outcomes demonstrated the value of MCDM techniques for robot selection. The study’s originality is in using MOORA MCDM approaches to select industrial car painting robots.