Integrators Part 2: Adapt to a changing market and avoid the ‘Nedry Effect’
Remember that Jurassic Park character, Nedry, who built an IT system no one else could manage? Joe Ventimiglio discusses how machine builders can avoid this mess by not trying to scratch-build a data-driven quality assurance system for a customer.
Integrators Part I: Reduce your risk, be on time and budget
Machine builders are always struggling to stay on budget, on schedule and on spec with their manufacturer customers. Joe Ventimiglio discusses how incorporating the data-driven quality management of Industry 4.0 into their builds can save them a lot of grief.
5 ways a digital process signature can save time and money in manufacturing
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.
Overall yield vs. first time yield (FTY): Which offers the greatest return?
The Repair Bay, Part 1: What is defect data management and why should I use it?
Patrick Chabot argues why repair bay operations must be viewed as much more than a reactive function, with technicians waiting to address individual problems as they arise. Industry 4.0 demands a more proactive and holistic approach.
Can your leak tester self-diagnose?
Leak testing is a quality assurance process notorious for reliability and repeatability challenges. Steve White discusses how and why Sciemetric includes a self-test function as part of its 3520 Leak Test System, to quickly diagnose any issues that may compromise reliability.
Why is my leak rate repeatability so poor?
Ron Pawulski explores how poor control of test pressure is one of the most common causes of repeatability issues with leak testing. The answer? Digital smart sensors and software that constantly monitor and adjust to compensate for any variations.
Taming big data is key to plugging the holes in your leak test
Collecting data isn’t the same as making effective and timely use of the data. Rob Plumridge discusses how manufacturers must invest in robust data management and analytics tools if they expect to achieve measurable gains in production quality and output.
What you need to consider when choosing a leak test system
Ron Pawulski offers a checklist of what to consider when choosing a leak test system – your acceptable level of Gage R&R (repeatability and reproducibility), the required test cycle time for your line, and the need for traceability and root cause analysis.
How to conduct a leak test trial you can stake your job on
When you’re in the market for a new leak test system, it’s a purchase decision that could be worth hundreds of thousands, even millions, of dollars to your plant. Rob Plumridge discusses the best approach to ensure a wise choice … and your job security.