Bayesian SPC: What Your Control Charts Aren't Telling You
Traditional SPC uses fixed control limits from the 1920s. Bayesian SPC adapts, detects changepoints, and quantifies uncertainty.
Practical guides on statistical analysis, SPC, DOE, and quality engineering.
Traditional SPC uses fixed control limits from the 1920s. Bayesian SPC adapts, detects changepoints, and quantifies uncertainty.
Quality engineers form hypotheses every day but track none of them. Structured hypothesis management changes how teams learn.
A beginner-friendly guide to Design of Experiments (DOE). Learn how to plan, run, and analyze your first factorial experiment without the textbook jargon.
A practical guide to Gage R&R studies. Learn how to assess your measurement system, interpret %GRR, and decide if your gages are good enough.
Your Cpk is a sample estimate with hidden uncertainty. Bayesian Cpk gives you P(Cpk > 1.33) with credible intervals. Free calculator included.
A practical guide to reading SPC control charts. Learn the Western Electric rules, common signals, and what to actually do when a point goes out of control.
Distribution-free control limits with guaranteed false alarm rates. No normality assumption. First commercial implementation.
"Leadership commitment" isn't a root cause. It's where lazy RCA stops. Here's the fault tree for why your CI program actually died.
Learn the real difference between Cpk and Ppk capability indices, when to use each, and common mistakes engineers make interpreting them.