Process Monitoring / In-Process Test
5 considerations when automating your quality control process on the manufacturing line
This blog post discusses key considerations that will help guide you to the best solution suited to your needs when considering a new system to automate your quality control process for improved product quality and overall line efficiency.
Sciemetric data analytics tools enabled engine manufacturer to link EOL failure to cracked check valves—see how!
An engine manufacturer was having end of line (EOL) engine function test failures and couldn’t figure out why. Sciemetric systems enabled analysis that pinpointed the problem, and informed new feature checks to catch these problems in the future. See how this could be applied to your line!
3 new ways to use Sciemetric Studio to improve your production line
Sciemetric Studio, our manufacturing analytics software platform, is used by top manufacturers across the globe. Learn how the latest updates and features of Sciemetric Studio will take your data analytics capabilities to the next level.
Considerations when digitizing paper-based records, automating defect detection and quality control on the production line
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.
Monitoring for weld expulsion: A prime cause of weak welds, defects
A common quality issue at the weld station on a production line is expulsion, which can result in a weak weld joint. By applying process monitoring and digital process signature analysis, Sciemetric enables manufacturers to identify weld expulsion before the part leaves the station. Learn how.
Set up your line for success in 2021: Lessons for improving product line efficiency and effectiveness
Due to the circumstances of 2020, manufacturing budgets and timelines have been under an ever-increasing microscope. This sentiment certainly rings true when we looked back at the most-read content from our blog over 2020, where improving efficiency and effectiveness seem to be top-of-mind. Set your line up for success in 2021 with these tips from our most-read posts of 2020, here!
How to detect delamination of brake pads using impact response testing
Brake pads can be constructed of a variety of materials, which need to be securely bonded to a backing plate to function properly. Failure to ensure a proper bond between these materials can result in costly scrap and rework. In this blog post, Sciemetric's Jason Koval discusses how to detect delamination of brake pads using impact response testing.
Go beyond station checks to improve product quality and line efficiency: The value of process monitoring and data analytics
When manufacturers consider the concept of quality control on their production lines, they often think that a quality check station is enough. But what happens when a part fails the test? This blog post discusses how to improve product quality and line efficiency by going beyond station checks.
Machine data versus part data: pros and cons | Manufacturing Data Series, Part 3
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.
How long should I store my manufacturing production data? | Manufacturing Data Series, Part 2
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.