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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.

Manufacturers often ask us how much data they need to keep, what data they should archive, and for how long. In this blog post, Sciemetric's Rob Plumridge discusses the factors to consider to ensure your data is working for you as part of your short-term and long-term strategies.

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.

Dispense is one of the most complex processes on the manufacturing line to monitor for quality assurance. This blog post discusses key considerations for identifying the correct parameters for effective defect detection.

In this post, we discuss the ROI investing in the improvement of your FTY results—including a case study which describes how we helped one manufacturer achieve over 3 million dollars in savings in one year by improving their FTY, decreasing their scrap and rework costs.

This blog post discusses how digital process signatures can be employed when a new quality problem crops up in the field, to identify the root cause and enable continuous improvement on your production line.

Applying digital process signature analysis on your line allows you to adapt and adjust, quickly, for greater agility and efficiency on your line. Learn more in this blog post.

Stations with lengthy test cycle times bottleneck production. Before resorting to adding extra lines, maintenance or labor, consider if the test cycle time can be shortened without compromising quality. This blog post discusses how to perform this analysis using digital process signatures.

Optimizing limits on your manufacturing test processes eliminates false failures and reduces the risk of giving bad parts a passing grade. This blog post discusses how to use digital process signatures to set more effective limits, more quickly, to produce higher quality parts, lower scrap/rework rates, and experience fewer recalls or warranty claims.

Now is the perfect time to consider how Industry 4.0 technologies can raise the bar on product quality, efficiency and profitability. Learn how digital process signatures can help you achieve better manufacturing defect detection in this blog post.