Statistical Process Control (SPC) Explained | Control Charts in Quality Management

YouTube Excerpt: This video introduces Statistical Process Control (SPC) and explains how control charts are used in quality management to monitor processes, reduce variation, and prevent defects. Taught by Operations University instructor Brent Bolton, this lesson lays the foundation for building and interpreting control charts in manufacturing and service environments. You’ll learn why variation matters, how to distinguish between common cause and assignable cause variation, and how SPC supports continuous improvement and Six Sigma initiatives. 👉 Get Certified (Lean Six Sigma) Watch the full Lean Six Sigma playlist, then complete your certification at OperationsUniversity.org to earn your Lean Six Sigma certificate. 💰 Advance Your Credentials Certification & Pricing = Yellow Belt $99 • Green Belt $499 • Black Belt $899 — or all 3 for $1,199 (save when purchasing together). Employer packages: Bulk enrollments & reporting available. 💡 What You’ll Learn in This Video: • What Statistical Process Control (SPC) is • The purpose of control charts • Common cause vs. assignable cause variation • Why processes exhibit variation • The 1–10–100 rule in quality control • When a process is in control vs. out of control • How SPC applies to manufacturing and services • How SPC supports Six Sigma and continuous improvement • How control charts are classified (X̄, R, P, C charts) 📢 Call to Action ✅ Subscribe for quality & operations content ✅ Visit OperationsUniversity.org to get certified ✅ Share with quality managers, engineers, and students #StatisticalProcessControl #SPC #QualityManagement #ControlCharts #SixSigma #OperationsManagement #ContinuousImprovement

This video introduces Statistical Process Control (SPC) and explains how control charts are used in quality management to monitor processes, reduce...

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