Advances in automotive technology are seemingly being made with each day that passes. As this occurs, it becomes more and more clear that standard fault control and detection methods are no longer the most efficient. As technology continues to innovate, processes such as predictive maintenance become more prominent—and necessary. Predictive maintenance is a maintenance procedure that leverages machine learning algorithms to examine data captured by equipment logs, sensors, and other pieces of automation to predict any and all potential hiccups throughout operations in the automotive industry. Without question, predictive maintenance provides multiple benefits to numerous stakeholders within the automotive industry. For manufacturers, fleet operators, and even vehicle owners, utilizing this approach will deliver cost savings, as it acknowledges and resolves potential issues before they cause substantial financial loss and downtime.
For the most part, conventional maintenance strategies in the automotive industry have primarily been reactive—solving issues as they appear—or preventative, where maintenance is carried out at predetermined periods, regardless of if they’re necessary or not. On the other hand, predictive
maintenance utilizes data analytics, AI, and automation to forecast and combat potential problems before they trickle down throughout an entire operation. When you choose to implement predictive maintenance into your automotive business, there are three key areas that should take focus:
Regardless of how you choose to practice predictive maintenance in your operations, it is critical that you choose to do so with Strategic Systems. Our solutions are built with Zebra’s innovative mobile computers, wearable computers, and RFID technology to ensure your operations are effectively connected.
If you’re looking to seamlessly and effectively implement predictive maintenance into your automotive operations, reach out to Strategic Systems to get started!