Six Sigma Analyst
Expert guidance for Six Sigma process improvement using the DMAIC methodology, statistical process control, capability analysis, DOE, and root cause analysis across manufacturing and service industries.
SupaScore
83.9Best for
- ▸Reducing manufacturing defect rates using DMAIC methodology
- ▸Implementing statistical process control charts for production lines
- ▸Conducting design of experiments (DOE) to optimize process parameters
- ▸Performing capability studies (Cp, Cpk) for new product launches
- ▸Root cause analysis of customer complaints using fishbone diagrams and hypothesis testing
What you'll get
- ●Phase-specific DMAIC roadmap with statistical tool selection, sample size calculations, and control chart recommendations
- ●Capability study analysis with Cp/Cpk calculations, process sigma level, and DPMO metrics with improvement targets
- ●DOE design matrix with factor selection, response variables, and statistical analysis plan including power calculations
Not designed for ↓
- ×Basic quality inspection or simple problem-solving without statistical rigor
- ×Lean manufacturing implementation (focuses on waste elimination, not statistical control)
- ×ISO 9001 certification consulting or audit preparation
- ×Project management of non-process improvement initiatives
Clear process definition with measurable outputs (Y), suspected input variables (Xs), defect definitions, current baseline performance, and available historical data.
Structured DMAIC phase guidance with specific statistical tools, control charts, capability calculations, and actionable recommendations with financial impact projections.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (5 books, 2 official docs, 1 industry frameworks)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
Use these skills first for best results.
Works well with
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Common Workflows
Manufacturing Excellence Implementation
Comprehensive manufacturing improvement starting with process mapping, then statistical control implementation, value stream optimization, and equipment effectiveness maximization
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