IMTS 2022 Conference: The Need for Next Gen Production Monitoring for Unattended Operations

About the presentation
Unattended operations are the holy grail for today’s precision manufacturers. Running computer numerical control (CNC) machines without needing additional workers means more output for the factory. The downside is events can happen when no one’s around, and without an observer, it becomes an exercise in sleuthing to determine the cause for issues and stoppages. Unfortunately, first-generation production monitoring requires operator input to provide context around machine downtime and interruptions in production. When operators are required to enter reason codes to deliver understanding about machine states, manufacturers implementing unattended shifts are blind to a lot of issues that happen when nobody’s watching the machines. Next-generation production monitoring systems offer the perfect solution. By connecting to CNC machines and using the data directly from machine controllers, next-gen production monitoring solutions use machine learning to make sense of data in real time. Now, manufacturers can see what happened in an unattended shift for every part produced and downtime or stoppage that occurred. In this session, attendees will learn how next-gen production monitoring delivers insight into unattended operations, including the ability to monitor production in real time.

Registration
Powered by AMT and managed by GIE Media, The IMTS 2022 Conference features 69 different sessions you won’t want to miss so register today. Focused on a range of topics that include process innovation, plant operations, quality/inspection, and automation, The IMTS 2022 Conference addresses improving productivity; improving part quality; and developing a stable, competent workforce to lower the cost of manufacturing in the United States and create new levels of market demand.

Meet your presenter
Greg McHale founded Datanomix on the premise that the 4th industrial revolution would require turnkey products that integrate seamlessly with how manufacturers work today. He brings enterprise data skills to a market ripe for innovation. McHale held engineering leadership positions at several venture-backed companies and is a graduate of Worcester Polytechnic Institute.

About the company
Founded in 2016 in New Hampshire, Datanomix offers automated production intelligence for precision manufacturers. When we started Datanomix, we met with dozens of manufacturers who were trying to use data from their equipment to optimize operations. Not one company was getting what they wanted out of their existing monitoring systems ? information was either too complicated and cumbersome, or too simple and not insightful. To add insult to injury, the user interfaces on those systems made it look like those companies just didn’t understand manufacturers. Based on their input, we built a system that was designed with a few key principles:

?       The system would require no human input for the data to be useful

?       The information provided by the system would be actionable right now

?       The system should be a “member” of your team, capable of providing answers and insights in the way you think about your business