Statistical quality control
Undergraduate · Statistics
Syllabus focus
Standard syllabus · STEM / applied
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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Topics typically covered
Standard syllabus
Process monitoring
- Common and special cause variation
- Shewhart control charts for variables
- Control charts for attributes: p, np, c, u charts
- Western Electric and Nelson rules
- Process capability indices: Cp and Cpk
Advanced SPC
- EWMA and CUSUM charts
- Multivariate control charts (introduction)
- Acceptance sampling plans
- Gauge R&R studies
- Design for Six Sigma overview
Quality improvement
- PDCA and DMAIC frameworks
- Fishbone diagrams and Pareto analysis
- Designed experiments for process improvement
- Reliability and failure rate analysis (intro)
STEM / applied
Industrial applications
- SPC implementation in manufacturing case studies
- Minitab or JMP for control charting
- Lean Six Sigma project structure
- Service-industry quality applications
- Regulatory quality standards (ISO overview)
- Cost of quality and economic design of charts
Additional applied practice
- Reviewing assumptions with domain experts
- Documenting analysis choices for reproducibility
- Sensitivity analyses for key modeling decisions
- Connecting results to the original research or business question
Notes
Common in industrial engineering and statistics departments. Aligns with Six Sigma concepts at an academic level.