Archives: KSB

K16- Experimentation Active versus passive analytics, design of experiments, experiment plan.

K15- Root cause analysis- Key principles including symptoms, failure mode, potential/verified cause, critical inputs, escape point. Graphical representation of data with dot, scatter and box…

K14- Process capability & performance Capability analysis – continuous data for normal distribution.

K13- Data analysis – statistical methods Measures of central tendency and spread.

K12- Basic statistics & measures Control charts – attribute data, principles of normality.

K11- Measurement systems Repeatability and Reproducibility principles.

K10- Data analysis – basic tools Spreadsheets and pivot table analysis, statistical analysis software.

K9- Process mapping & analysis Swim lane, value stream map, performance metrics – continuous, Parameter diagram, Takt time, Overall Equipment Effectiveness, theory of constraints principles,…

K8- Problem Definition Cost of Poor Quality, problem analysis models such as Is/Is Not

K7- Project selection & scope Y=f(x) equation (outputs are the result of inputs), business scorecard cascade.