Unplanned equipment downtime in manufacturing is frustrating (and costly). These unexpected halts can severely interrupt and disrupt production, not to mention they can result in a loss of revenue. On average, companies lose $260,000 for every hour of unplanned downtime, which is 4-15 times the cost of regular maintenance.

Equipment outages can last for hours and can have a detrimental impact on employees and productivity. Additionally, large-scale outages cause a ripple effect, impeding other critical operational functions. That’s why it’s important to predict and prevent equipment failure and eliminate unplanned downtime.

Operational efficiency and reducing downtime is key to a healthy bottom line. By applying Seeq’s advanced analytics, you can monitor equipment in near real-time, compare it to historical data, and predict exactly when downtime could occur and when preventative maintenance is needed.

Download this infographic to learn why downtime prediction equipment is so important, and the steps to take to avoid unplanned downtime.