Traditional breakdown maintenance systems require tremendous human intervention to diagnose the problems causing the failure and the expected corrective procedure to be applied. It is then followed by allocating spares and engineers to the maintenance order. This process is quite error prone as well as time consuming.
Robotic prescriptive maintenance solution completely removes these problems. The human intervention is required only in special cases and exceptional situation.
IoT devices and sensors are used to capture signals from the equipment when the fault appears and a connected Robot logs and creates the job order instantly. Most probable root cause is found using machine learning algorithm and requisite engineers are then assigned. Thus robotic maintenance helps the manufacturing companies to quicky identify the mechanical issues and fix it accurately. Companies need to adapt to these technologies in order to achive efficiency and minimize delays.