This wideband capability allows engineers to address diverse applications including broadband RF and microwave component ...

In this course, you will learn to analyze measurement systems for process stability and capability and why having a stable measurement process is imperative prior to performing any statistical ...

Measurement system analysis (MSA) is an essential discipline that underpins the accuracy and reliability of data in quality control and manufacturing processes. By quantifying measurement variability, ...

Ensuring parts meet specification is crucial and so it helps to have confidence in your measurement system. Parts that don’t meet specification, whether gauging composition or measuring thickness, ...

Organizations use data every day to make decisions. Good data allows us to make good decisions; on the other hand, bad data typically leads to bad decisions. So how do we know if our data is good?

Measurement systems serve as a critical foundation of modern logistics operations. Capacity decisions, flow controls, asset ...

Bayesian uncertainty analysis represents a powerful statistical framework that integrates prior knowledge with observed measurement data to quantify uncertainty in a consistent probabilistic manner.

Power plants upgrade emissions monitoring with integrated QCL/TDL laser analyzers that reduce maintenance and deliver precise ...

Fat analysis systems are increasingly viewed as verification tools as meat processors seek tighter control over fat content, yield optimization and product consistency. Eagle Product Inspection (EPI) ...

There is growing acknowledgement in the United States that to achieve better care, at an affordable cost, with better population health, we will need to expand beyond traditional approaches. Most ...