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OTE/SPH
August 31, 2006
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CONTROL OTE/SPH Control plans Basic control charts Validation testing Mistake proofing SPC II: control charts 2:55 Char Count= 0
IMPROVE Heuristics Sensitivity analysis Design of experiments concepts and techniques Optimization and control of queues Response surface methodology Simulations and statistical distributions Mathematical programming techniques Advanced experimentation: robust design
ANALYZE Forecasting Cost analysis Confidence intervals Cause--effect analysis Basic queuing systems Statistical hypothesis testing Analysis of variance (ANOVA) Reliability models and measures Correlation and simple linear regression
Techniques Run charts distributions instability) Capability analysis Exploratory data analysis Failure modes and effects analysis SPC Part I (concepts, implications of Monte Carlo simulations and statistical
OR/MS and quantity) Process mapping Measurement systems analysis Data sampling techniques (data quality MEASURE
Integrates analysis Gap analysis Project management tools Quality function deployment and Kano
that DEFINE planning Decision analysis Project selection Probabilistic risk thinking and strategic
Roadmap issues Definition; leadership and implementation
A TRAINING PHASES TOOLS AND TECHNIQUES Understanding Six Sigma Formulating strategies with emphasis on risk Translating strategies into action plans Selecting and scoping of projects Planning of projects Listening to the voice of customers Identifying processes Identifying potential KPIVs and KPOVs Translating customers' ne
5.3 DELIVERABLES
Table IMPLEMENTATION PHASES DEFINE MEASURE ANALYZE IMPROVE CONTROL
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