Day – 1

Overview: Six Sigma and the Organization

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 (FMEA, DFMEA & PFMEA)
• Road maps for DFSS

Six Sigma – Define – I

Process Management for Projects

• Process elements
• 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 risk analysis
• Project closure

Six Sigma – Define – II

Management and planning tools

Business results for projects

• Process performance

Team dynamics and performance

• Team stages and dynamics
• Six sigma and other team roles and responsibilities
• Team tools
• Communication

Day – 2

Six Sigma – Measure – I

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

Six Sigma – Measure – II

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

Day – 3

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 sub grouping
• Selection and application of control charts
• Analysis of control charts

Implement and validate solutions

Control plan