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

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.

With each new year, many of us take time to reflect on our past and set goals for the future. Why not apply the same exercise to your production line? To help you improve your production line in 2019, we have provided the following tips, chock full of insights from our experts.

Does it make more sense to improve the overall yield of a line, or work to reduce scrap and rework rates to boost first-time yield? We crunch some numbers and illustrate the difference that digital process signature analysis can make.

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.

We give a primer on how comprehensive data collection from across the plant floor, coupled with digital process signature analysis, can achieve the sometimes contradictory goals of reduced production costs and improved quality.

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.

Paper-based data management and reporting workflows tend to limit the line’s capacity and scalability, and are prone to manual error. When these workflows start creating noticeable bottlenecks on your line, it’s time to look for a more streamlined solution. Learn more.

There is a tendency to think about the line in terms of individual process, with separate solutions for force-distance monitoring, leak testing, torque testing, etc., rather than as a whole—but it doesn't have to be this way. With one common solution, like the sigPOD, one platform can do it all. Learn how commonality on the production line helps manufacturers save time and money.