Control Charts
Control charts help distinguish normal process variation from signals that indicate a meaningful change in the process.
Understand variation and strengthen process quality with DMAIC, SPC, capability, MSA, Pareto analysis, FMEA and prevention-based thinking.
Start with the fundamentals, then follow the related methods as the knowledge base grows.
Control charts help distinguish normal process variation from signals that indicate a meaningful change in the process.
DMAIC is a structured improvement method used to define problems, measure current performance, analyze causes, improve the process and control the gains.
FMEA is a structured risk-analysis method used to anticipate how a product or process could fail, understand the effects and strengthen prevention.
Learn how Pareto charts prioritize categories by impact, how to build one correctly, what the 80/20 idea means, and when Pareto analysis can mislead.