Predictive maintenance drastically improves technical support by catching errors that no humans can see. Not only does this eliminate machine downtime, but it increases the safety of all people who use the device. The machine doesn’t lie or have a gut feeling, instead predictive maintenance decisions are solely based on data, eliminating a centralized decision-maker—though it should be noted that bias can still be a problem for AI.
The newest tools and methods are capable of measuring maintenance activities in minute detail and determining how each action affects a business. For example, you can collect data on failure patterns and preventive maintenance using machine sensors and maintenance software predictive maintenance is playing a key role in Industry 4.0. Manufacturers will not only have full lifespan use of parts and no unplanned downtime but smart factories that enable M2M learning can improve productivity and safety.