Course Content
A structured curriculum covering quality fundamentals, the seven QC tools, statistical methods, and the complete DMAIC project framework.
1. Quality Fundamentals
▼- Quality defined — VOC, CTQ
- Kano Model
- Exercises linked to above concepts
2. Evolution to Six Sigma
▼- Journey from quality measurement to Six Sigma
- Appraisal & Prevention in processes
- Correction, corrective action, preventive action
- Goals of Lean Six Sigma & team formation
- Selecting organizational pain areas for projects
3. Process Approach
▼- Cross-functional & boundary-less collaboration
- SQCD route to deliver value
- CTPs & dashboard
4. Sigma Level & Cost of Quality
▼- DPU & DPMO — calculating sigma level
- Process-capability for attribute & count data
- Cost of Quality & its impact on sigma
- Motorola's journey from 3.4 to 6.0 sigma
5. Statistical Foundations
▼- Importance of studying variation
- Descriptive statistics — Mean, Median, Mode
- Spread — Range & Standard Deviation
- Excel 'Data Analysis' tools
- Interpreting processes using statistics
6. Seven Tools of Quality
▼- Flowchart / Process-map & Check-sheet
- Pareto chart, Histogram, Fishbone
- Scatter plot / Correlation coefficient
- Control charts
- Quantitative exercises using Excel
7. SPC & Process Capability
▼- Use of SPC (Statistical Process Control)
- Calculating Cp / Cpk for variable data
- Breakthrough vs continual improvement
8. DMAIC Methodology
▼- Define: Project Charter — SIPOC — ARIS
- Measure: Data collection, MSA, baseline capability
- Analyze: Root causes, correlations, hypothesis testing
- Improve: Finalize solutions, FMEA, pilot & validation
- Control: Standardization, training, control charts, audits
9. FMEA
▼- Failure Mode & Effect Analysis (FMEA)
- Risk identification, scoring & mitigation
