See and solve failures before they happen with predictive analytics
Wouldn’t it be nice to know when the devices in your home are on their last legs, so you could fix or replace them before they break? Just imagine how much better life would be. No more air conditioner breakdowns in the dog days of summer. No more unusable dishwashers on busy weeknights. No more computer crashes before you can back up your family photos and personal files. The same holds true for the plant floor. By knowing when machines and equipment are about to fail, you can proactively service them to avoid stressful situations like downtime, missed customer orders and quality issues. We may not know when our home technologies will be kaput. But such insights are possible in your production operations today using dashboards with predictive analytics. When real time is too late From smart machines to connected sensors, IoT technologies have forever changed how you see your operations. You can now access data and analytics that matter to monitor almost any aspect of production, in real time, around the clock. This data is great for tracking performance, quality and more. Real-time data is not enough, however, when it comes to spotting machine or equipment failures that cause unexpected downtime. You need insights into potential issues before they cause downtime, not after. This is where advanced analytics software and dashboards come into play. The software combines real-time data with machine learning to understand the patterns that precede downtime events and other issues. It’s presented in a dashboard and can detect anomalies that may indicate new failure modes or other issues that need to be investigated. These predictive insights can help your workers solve any number of challenges in your operations. Look into your future Even more valuable than knowing when something is about to fail is knowing what you need to do […]