A Study on Deploying Smart and Predictive Industry Maintenance System

Abstract

Rapid deterioration of maintenance strategies brings us to the focal point of building a strong and efficient maintenance system which can not only automatically maintain the assets but also predict the vulnerability of the asset in the future so as to give the company an idea of a future breakdown which might occur. Such maintenance systems will not only help the company in saving costs but also make the procedure of checking the assets much more streamlined. Thus several research study of already existing maintenance systems were looked up and studied. These included the concepts of dynamic programming along with heuristic and genetic algorithms which were being used in an industry to assign relevant work to relevant technicians. RFID is used in the refining industry to the tree classification algorithms being implemented in the Railway maintenance system. Reading such research work gives us an idea of challenges that industries continue to face and what more could be done to eliminate the existing negatives in the maintenance system strategies.