While the benefits of today’s predictive maintenance are considerable for Industry 4.0, the maintenance workflow is still manual and inefficient.
Connecting and applying predictive analytics to all monitored machine and sensor data in real time enables you to understand their current condition, their estimated future performance, and their anticipated degradation state. This allows you to accurately determine when to perform maintenance, when to replace old parts before they malfunction, or when to remotely support and fix issues — eliminating unnecessary, expensive on-site maintenance service calls.
Manufacturing companies turn to TeamViewer IoT when they need to connect and monitor their machines to automate smart predictive maintenance workflows, reduce unplanned downtime, improve MTTR, and optimize operational efficiency. TeamViewer refers to this smart predictive maintenance for Industry 4.0 as “Maintenance 4.0.”