Benefits of Attendees:

• Supply base and material management
• Information and technology sharing
• Benchmarking
• Balance scorecard
• Traditional management vs. Six sigma management
• Six sigma benefits to an organization
• More on DMAIC Methodology

By the end of this course delegates will be able to:

• Application of Six Sigma; Six Sigma tool kit to deploy
• Value-stream process mapping; tracking process defects
• DPU, DPMO and Sigma level exercise
• Statistical process control, principles and applications
• Variable control charts, attribute control charts
• Discipline problem solving
• Identifying and verifying root cause
• Permanent corrective action (PCA); preventing recurrence
• DMAIC Methodology -Define, measure, analyze, improve, control DMAIC checklists
• Failure mode and effects analysis

• Senior Managers & Team Leaders
• Project Managers
• Quality Assurance Professionals
• Software Professionals

1. Why Six Sigma?
2. Definition of Six Sigma
3. Comparisons between typical TQM and Six Sigma Programs
4. Origins and Success Stories
5. How to Deploy Six Sigma

• Organizational Metrics and Dashboards   
• Data-driven Decision Making
• Description of the Roles and Responsibilities
• Leadership Responsibilities

DEFINE: Project Definition

• Tasks
• B. Work Breakdown Structure
• C. Pareto Diagrams
• Matrix Diagrams
• Project Charters

DEFINE: Change Management Teams

• Problems with Change
• Achieving Buy-in
• Team Formation, Rules, and Responsibilities

1. Stages of Team Development
2. Overcoming Problems

• Consensus Building

1. Affinity Diagram _
2. Prioritization Matrix 
   MEASURE: Tools and Objectives

• Measure Stage Objectives
• Flowcharts
• SIPOC
• Rolled Throughput Yield
• Process Mapping
• Process C&E
• Minitab Review
• Descriptive Statistics review

MEASURE: Establishing Process Baseline

• Interpretation 
• Benefits of Control Charts
• Requirements vs. Control
• Control Chart Interpretation

1. X-Bar Charts and Individuals Charts

MEASURE: Process Capability

1. Histograms
2. Probability Plots
3. Capability and Performance Indices
4. Relative to Process Control
5. Interpretation  

ANAL YZE: Introduction to Linear Regression Analysis

• Scatter Diagrams
• Linear Model
• Interpreting the ANOVA Table
• Overview of Multiple Regression Tools
• Testing Variances
• Testing Means
• General Linear Model
• Main effects and Interactions
• Non-Linear Regression
• Confidence Intervals
• Non-Normal Distribution Analysis
• Non-Parametric tests

ANALYZE: Lean Thinking

• Definition of Waste
• Analyzing Process for NVA
• Lead Time and Velocity
• Methods to Increase Velocity
• Standardization
• Optimization
• 5S
• VSM
• Lean Controls

1. Kanban
2. Poka-Yoke 

IMPROVE: Tools and Objectives

• Improve Stage Objectives
• Tools to Prioritize Improvement Opportunities
• Tools to Define and Mitigate Failure Modes
• FMEA
• Introduction to DOE
• Full Factorial Experiments
• Full Factorial Simulations
• 2K Factorials
• DOE Sample Size Selection
• Fractional Factorials
• Statapult Exercise

CONTROL: Tools and Objectives

• Control Stage Objectives
• Training
• Measuring Improvement
• EVOP / Plex
• Response Surface Designs
• Control Charts review
• Shewhart tests for stability
• Lean & Six Sigma Synergy
• Process Control Plans
• Project Planning & Deliverables

CDGA attendance certificate will be issued to all attendees completing minimum of 75% of the total course duration.