Many manufacturers face the costly problem of a lagging leak test cycle time. With constant pressures on production, line managers have no choice but to run parallel test stations to maintain production quotas. More often than not, the answer is simple—use your leak test data. Here’s how one customer did it.

Sciemetric's Manufacturing IT Manager, Patrick Chabot shares insights on how manufacturers can make better use of their machine vision data in this article by IMV (Imaging and Machine Vision) Europe.

The manufacturing industry, as represented at The ASSEMBLY Show, has chosen the QualityWorX CTS DataHub as the 2018 New Product of the Year.

The QualityWorX CTS DataHub is a nominee for the New Product of the Year Award at The Assembly Show, taking place Oct. 23-25 in Rosemont, IL. Come visit us with Cincinnati Test Systems at Booth 813 to see this new product in action!

There are some instances where an acceptable leak rate is so small as to be practically zero. Few air leak test methods, such as pressure decay, have the necessary detection range. These situations call for a trace gas-based test method. Learn more in this article in Quality Magazine, written by Cincinnati Test Systems' Systems Engineer, Peter Bonyhati.

Cincinnati Test Systems and Sciemetric have brought the data management and analytics of Manufacturing 4.0 to leak and flow testing with their first collaboration as part of the TASI Group. Learn more about the QualityWorX CTS DataHub.

Cross-process analysis of images, image data and other process data improves quality, process control, and enables continuous process improvements. Learn more in this article in Vision Systems Design, by Sciemetric's Manufacturing IT Manager, Patrick Chabot.

Machine vision images and data are a valuable part of the Manufacturing 4.0 equation. The problem is that machine vision images and data are often trapped in silos across the plant floor, with images stored in formats that make them difficult to access and analyze. With the right data management strategy, you can make this data accessible to your team so it can drive value.

Even on a modern manufacturing line equipped to collect and analyze process data, something can always slip through the cracks to derail quality and efficiency. This is only to be expected. But what if a key assembly process still rests entirely with a human being manually completing a task? There is no obvious data trail, no process monitoring in real-time. What then? In this article, Sciemetric's Manufacturing IT Manager, Patrick Chabot discusses the importance of having a strategy for continuous improvement on the line.

Learn about the successes we’ve helped our customers achieve—and how we can help you achieve the same success on your production lines!