Page 68 - Six Sigma Advanced Tools for Black Belts and Master Black Belts

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A New Roadmap for Six Sigma Black Belt Training 53
Table 5.1 An expanded list of Six Sigma tools.
Manufacturing/operational
environment Transactional Environment
Define Project selection Project selection
Probabilistic risk thinking and Probabilistic risk thinking and
strategic planning strategic planning
Decision analysis Decision analysis
Process mapping Process mapping
Project management tools Project management tools
Measure QFD and Kano analysis QFD and Kano analysis
Gap analysis
Sampling (data quantity and data Sampling (data quantity and data
quality) quality)
Measurement system analysis Measurement system analysis
SPC Part I (concepts, implications of
instability)
Run charts (or time series graphs)
Capability analysis Capability analysis
Monte Carlo simulation and
statistical distributions
Analyze Basic graphical improvement tools Basic graphical improvement tools
FMEA FMEA
Hypothesis testing Hypothesis testing
Confidence intervals
ANOVA ANOVA
Correlation and regression analysis Correlation and regression analysis
Reliability models and measures
Cost analysis
Forecasting
Basic queuing systems
Simulation and modeling
Improve DOE (factorial, fractional factorial, DOE (factorial, fractional factorial
blocking, nested and RSM) and blocking)
Robust design
Optimization and control of queues
Mathematical programming
techniques
Heuristics
Sensitivity analysis Sensitivity analysis
Control Mistake proofing Mistake proofing
Validation testing Validation testing
Control plans Control plans
SPC Part II: Control charts Basic control charts

programming, nonlinear programming, network programming, dynamic program-
ming, goal programming, multiobjective mathematical programming, and stochastic
programming. Problems selected for Six Sigma projects are not limited to the field
of engineering but cover quality issues in transactional, commercial and financial ar-
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eas as well, with an explicit and strong customer focus. Mathematical programming