Six sigma and organizational goals
§ Value of six sigma.
§ Organizational drivers and metrics.
§ Organizational goals and six sigma projects.
Lean principles in the organization
§ Lean concepts and tools.
§ Value-added and non-value-added activities.
§ Theory of constraints.
Design for Six Sigma (DFSS) in the organization
§ Quality function deployment (QFD).
§ Design and process failure mode and effects analysis (DFMEA & PFMEA).
§ Road maps for DFSS.
Six Sigma – Define
Process Management for Projects
§ Process elements.
§ Owners and stakeholders.
Identify customers:
§ Collect customer data Analyze customer data.
§ Translate customer requirements.
Project management basics:
§ Project charter and problem statement.
§ Project scope.
§ Project metrics.
§ Project planning tools.
§ Project documentation.
§ Project risk analysis.
§ Project closure.
Management and planning tools.
Business results for projects:
§ Process performance.
§ Failure mode and effects analysis (FMEA).
§ Team dynamics and performance.
§ Team stages and dynamics.
§ Six sigma and other team roles and responsibilities.
§ Team tools.
§ Communication.
Six Sigma – Measure
Process analysis and documentation:
§ Process modeling.
§ Process inputs and outputs.
Probability and statistics:
§ Drawing valid statistical conclusions.
§ Central limit theorem and sampling distribution of the mean.
§ Basic probability concepts.
Collecting and summarizing data:
§ Types of data and measurement scales.
§ Data collection methods.
§ Techniques for assuring data accuracy and integrity.
§ Descriptive statistics.
§ Graphical methods.
Probability distributions.
Measurement system analysis.
Process capability and performance.
§ Process capability studies.
§ Process performance vs. Specification.
§ Process capability indices.
§ Process performance indices.
§ Short-term vs. long-term capability.
§ Process capability for attributes data).
Six Sigma – Analyze
Exploratory data analysis:
§ Multi-vari studies.
§ Simple linear correlation and regression.
Hypothesis testing:
§ Basics.
§ Tests for means, variances, and proportions.
§ Paired-comparison tests.
§ Single-factor analysis of variance (ANOVA).
§ Chi square.
Six Sigma – Improve & Control
Design of experiments (DOE):
§ Basic terms.
§ Main effects.
Statistical process control (SPC):
§ Objectives and benefits.
§ Rational subgrouping.
§ Selection and application of control charts.
§ Analysis of control charts.
Implement and validate solutions.
Control plan.