Course Outline
 

 

1. Six Sigma and Organization

1.1. Six Sigma and Organizational Goal

  • Continuous Improvement
  • Six Sigma History
  • Quality Pioneers
  • Value of Six Sigma
  • Mathematical Six Sigma
  • Benefits of Six Sigma
  • Business processes
  • Business System
  • Process Control
  • Six Sigma Green Belt’s Responsibilities
  • DMAIC Methodology
  • Cost of Quality (COQ)
  • Organizational Drivers and Metrics
  • Organizational Goals

1.2. Lean Principles

  • Origins
  • Toyota Production System
  • Concept and Tools
  • Value-Added and Non-Value-Added Activities
  • 5S
  • Theory of Constraints (TOC)

1.3. Design for Six Sigma (DFSS)

  • Quality Function Deployment (QFD)
  • Design And Process Failure Mode And Effects Analysis (DFMEA and PFMEA)
  • DFSS Roadmap

 

2. Define
2.1. Process Management

  • Business Process Basics
  • Owners and Stakeholders
  • Customer Identification
  • Customer Data Collection and Analysis
  • Customer Requirement Mapping

2.2. Project Management
2.3. Management and Planning Tools

  • Flowchart
  • Check Sheets
  • Pareto charts
  • Cause and Effect Diagram
  • Tree Diagram
  • Affinity Diagram
  • Matrix Diagram
  • Interrelationship Digraph
  • Benchmarking
  • Prioritization Matrix
  • Focus Group
  • Gantt Chart
  • CPM/PERT Chart
  • Activity Network Diagram

2.4. Business Results

  • Business Performance
  • Project Performance
  • Process Performance
  • FMEA and RPN

2.5. Team Dynamics and Performance

  • Team Types
  • Team Roles and Member Selection
  • Team Stages
  • Team Tools
  • Team Communication

 

3. Measure
3.1. Process Analysis and Documentation

  • Process Modeling
  • Process Inputs and Outputs

3.2. Statistics and Probability

  • Drawing valid statistical conclusions
  • Descriptive Statistics
  • Central limit theorem and sampling distribution of the mean
  • Basic Probability

3.3. Collecting and Summarizing Data

  • Types of data and Measurement scales
  • Data collection methods
  • Techniques for Assuring Data Accuracy and Integrity
  • Graphical methods

3.4. Probability Distributions

  • Probability Distribution
  • Probability Density Function
  • Distributions Types
  • Binomial Distribution
  • Poisson Distribution
  • Normal Distribution
  • Chi-Square Distribution
  • Student t Distribution
  • F Distribution
  • Geometric distribution
  • Hypergeometric Distribution
  • Bivariate Distribution
  • Exponential Distribution
  • Lognormal Distribution
  • Weibull Distribution

3.5. Measurement System Analysis

  • Measurement
  • Measuring Tools
  • Measurement System
  • Measurement Correlation
  • Bias
  • Linearity
  • Percent Agreement
  • Precision-Tolerance Ratio
  • Metrology
  • Measurement Error
  • Total Product Variability
  • Calibration

3.6. Control Chart
3.7. 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

 

4. Analyze
4.1. Exploratory Data Analysis

  • Multi-vari studies
  • Simple linear correlation and regression
  • Correlation
  • Linear Regression
  • Simple Linear Regression Hypothesis Testing
  • Multiple Linear Regression
  • Coefficient of Determination
  • Coefficient of Determination Equation

4.2. Hypothesis Testing

  • Basics
  • Tests for means, variances, and proportions
  • Paired-comparison tests
  • Single-factor analysis of variance (ANOVA)
  • Chi square

 

5. Improve and Control
5.1. Design of Experiments (DOE)

  • Basic terms
  • Main effects

5.2. Statistical Process Control (SPC)

  • Objectives and benefits
  • Rational sub-grouping
  • Selection and application of control charts
  • Analysis of control charts

5.3. Implement and Validate
5.4. Control Plan

 

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