International Journal of Advances in Applied Computational Intelligence
Journal DOI
2833-5600ISSN (Online)
Volume 6 , Issue 1 , PP: 36-49, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Rozina Ali 1 , Ammar Rawashdeh 2
Doi: https://doi.org/10.54216/IJAACI.060104
Robot selection is a crucial process that involves choosing the most suitable robot for a specific task or application. This work provides an overview of the critical criteria for selecting a robot. It emphasizes the importance of evaluating task requirements, payload capacity, workspace and reach, precision and accuracy, speed and cycle time, safety features, programming and control interface, maintenance and reliability, cost and return on investment, integration, and compatibility, and future scalability and flexibility. By carefully considering these criteria, stakeholders can make informed decisions and select a robot that meets their needs, optimizing productivity, efficiency, and safety in various industrial and commercial settings. We used the concept of multi-criteria decision-making to deal with multiple criteria in the robot section. We used the Weighted Euclidean distance-based Approach (WEDBA) to analyze the robot selection criteria and rank the alternatives. The WEDBA method integrated with the neutrosophic set environment. The neutrosophic set used for dealing with uncertainty information. We used the 11 criteria and 15 options in this study. The main results show the load capacity has the highest weight.
The Weighted Euclidean Distance Based Approach Method (WEDBA) , Robot Selection , MCDM , Decision Making , Neutrosophic Set , Uncertainty
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