Achieve Above Average Machine Utilization Rates

Learn how to improve your machine utilization

The average manufacturer has a machine utilization rate that hovers around 30%. If American plants want to become more efficient, technologically advanced, and profitable, this metric must increase.

Alora can help. Our data connectivity platform provides easy-to-use dashboards driven by near real-time data that allow operators and supervisors to compare machine uptime against targets immediately. Alora also utilizes reason codes that allow operators to take immediate corrective action. Near real-time data provides specificity that enables teams to fix whatever is not working and immediately become more productive and efficient.

Easy to use

With a few touches, operators can capture all the shop for data that helps put machine downtime, job progress, and quality control challenges into context, allowing management to focus on problem areas and encouraging productivity opportunities highlighted by actionable data.

When that data is highlighted on digital signage right on the shop floor, and everyone is aligned based upon a single source of truth – the results are fast and dramatic. With Alora, manufacturers have seen an increase in utilization rate of around 10%.

And now, Alora is even better with the new builder tools. Dashboards are more configurable than ever. Manufacturers can leverage role-based functionality and filters to see only the information that they need. Quickly visualize business KPIs (key performance indicators) and know where teams can improve collaboration and communication across the manufacturing facility.

Improving utilization rates is one of the biggest challenges manufacturers face, but it is a problem within manufacturers' hands. They need access to data via an easy-to-use manufacturing and machine intelligence platform.

If you enjoyed reading this article, check out these posts:

• Manufacturers Need Predictive Planning
• The Key to Visible Actionable Data on Your Shop Floor
• Manufacturing Leaders: Do You Want to Better Leverage Data Insights?