Blog

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.

Should a discrete manufacturer focus on overall production yield/output, or on first time yield (FTY)? This blog post discusses which metric is more effective for your line, and how to calculate it.

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.

Many manufacturing and industrial facilities have chosen to recruit capacity from a public cloud service provider to help them manage their data. However, while the cloud is a relatively cost effective, simple to manage, and scalable solution to suit your needs, it can also create some other challenges. Learn more.