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The QualityWorX CTS Gateway enables the collection and management of data from Cincinnati Test Systems (CTS) Sentinel instruments and the CTS-Schreiner LPC-528 into a QualityWorX database. Analysis of the data can be done using the reporting and analytics tools that form part of the QualityWorX suite to optimize test stations, and for faster issue resolution.

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Manufacturers can make the most of the advanced capabilities of their CTS leak test instruments and Sciemetric sigPOD in-process test and monitoring systems through the addition of QualityWorX® data management and analytics. The turnkey solution aggregates data from up to five devices into an analytics database for on-demand usage. From providing complete traceability data and proof of compliance in an easy to access format to enabling continuous optimization and quick response to issues affecting testing, the addition of QualityWorX makes it easy to implement a Manufacturing 4.0 data strategy.

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It’s when manufacturers are faced with a recall or warranty claim that they realize data collection alone has little value if they can’t easily access and analyze it. Learn how we helped one manufacturer of agricultural machinery use their data to improve their root cause analysis time from weeks to minutes!

The information generated by machine vision systems puts a whole new spin on the term “big data.” The raw image files output from vision systems are huge, and manufacturers can generate terabytes of image data in a month—even in a week! So, what do you do with all this data? Read more to find out!

Aaron Alberts explores how, when it comes to collecting process data to raise the bar on quality and productivity, you can never have too much. The key is to break down the data silos across the plant floor and get all that data into one centralized database for analysis.

Sciemetric releases QualityWorX Vision – a flexible new data management and analytics platform that harnesses machine vision image data to help drive quality and productivity.

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At Sciemetric, we’ve spent more than 35 years developing and delivering innovative solutions for the problems that plague manufacturing production lines. In this "Ask the Experts" video, Sciemetric expert Robert Ouellette explains how manufacturers can use part data collected and consolidated from across the production line to analyze production problems, quickly identify root cause and minimize the impact of a recall or warranty claim.

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In this blog post, Sciemetric's Rob Plumbridge discusses what data you should be collecting on your production line, and what data is the most important to determine root cause when there is an issue with quality or throughput. Read the post to learn more.

When we talk to manufacturers, sometimes we find that the difference between machine data and actual part production data has gone unnoticed. While both have their role to play, one is not a substitute for the other, as they don’t measure the same things. This blog post discusses the pros and cons of these different data systems to help you decide what's right for you.

Data is everywhere on today’s production lines. The challenge is that though manufacturers may be collecting large volumes of data, it often isn’t being used proactively or efficiently to solve day-to-day problems. Consider the following best practices to start making better use of your production line data.