<b>A Combined Compromise Solution (CoCoSo) of MCDM Problems for Selection of Medical Best Bearing Ring</b>

Bearings offers a variety of products designed to meet the rigorous requirements of the medical sector for patient safety, such as diagnostic and laboratory equipment, surgical and dental instruments, ventilators, heart pumps, etc. In the field of medical instruments, the bearing rings compromise from superior quality metals to perform surgical operations safely. The selection of the best bearing ring materials for medical applications is a critical task that involves considering various factors to ensure optimal performance, reliability, and safety. The study explores challenges and criteria in selecting the ideal bearing ring for medical devices and equipment. The criteria discussed encompass material compatibility, biocompatibility, lubrication requirements, precision, cleanliness, durability, noise and vibration control, size and dimension, load capacity, temperature and environmental conditions, regulatory compliance, manufacturing considerations, compatibility with adjacent components, maintenance, and serviceability. The challenges mainly include biocompatibility validation, material selection, performance requirements, regulatory compliance, size limitations, cost considerations, supply chain reliability, long-term stability, maintenance, expertise, and collaboration. To address the current challenges of medical bearing the study needs to understand the medical requirements, and engagement with trusted suppliers and regulatory bodies. The study presents a multi-criteria decision-making methodology (MCDM) problem with various criteria and alternatives with uncertainty conditions. The decision maker’s perspectives evaluate the importance of criteria and alternatives. The neutrosophic set is used to deal with uncertainty conditions. The study illustrates a solution to select the best bearing ring to ensure the success and safety of medical applications. The MCDM provides solutions to choose the best bearing ring. A Combined Compromised Solution (CoCoSo) method is used as an MCDM method with neutrosophic theory to select the best alternatives. A numerical case study is presented to show the applicability and availability of the proposed methodology.