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Six Sigma Green Belt - Financial Services Curriculum


Module 1 – Introduction of Six Sigma


  • Course Introduction
  • Six Sigma: A Process Improvement Methodology 
  • Key Characteristics of Six Sigma
  • Value and Waste 
  • Quality
  • Six Sigma and Statistics 

Module 2 – History and Gurus


  • Historical Companies and Their Contributions
  • Historical Figures and Their Contributions
    • Shewart, Deming, Fred Taylor, Crosby, Ishikawa, Taguchi

Module 3 – DMAIC Overview


  • DMAIC Tollgates 
  • First Wave Projects 
  • Selecting the Projects / Key Roles and Responsibilities 

Module 4 – Teams & Facilitation


  • Introduction – Teams
  • Forming Managing Teams
  • Approaches to Team Decision Making: Pros and Cons
  • Key Team Tools: Brainstorming
  • 7M Tools
    • Affinity Diagrams
    • Tree Diagrams
    • Process Decision Program Chart
    • Matrix Diagram
    • Activity Network Diagrams
    • Prioritization Matrix
    • Interrelationship Diagrams

Module 5 – Define


  • Introduction – Define Phase
  • The Project Charter
  • Voice of the Customer
    • CTQ – Critical to Quality, CTX – Critical to X
    • House of Quality
  • CTQ Tree
  • Kano Tables
  • Map of the Process
  • SIPOC – Name the Process, Identify Start/Stop Points
    • Specify Customers and List the Outputs
    • Identify Suppliers
    • Constructing the SIPOC
  • Validating the Process Map
  • Flow Charts – Detailed/ Swim Lanes
  • The 6 M's
    • Man, Machine, Materials, Methods, Measures, and Mother Nature

Module 6 – Measure 


  • Introduction – Measure Phase
  • Variation
  • Variation and Visualization: Interpreting the Normal Curve 
    • Central Tendency
    • Standard Deviation
  • The Central Limit Theorem
  • Creating Graphical Representation of Data
    • Stem and Leaf
    • Box and Whisker Plots
    • Defect Location Check Sheets
    • Pareto Charts
    • Run Charts
    • Correlation
    • Scatter Plots
  • Measurements and the Customer Requirements
  • Types of Data
  • Performance Indicator Identification 
  • Operational Definitions: Targets
  • Gage Repeatability and Reproducibility
  • Data Collection Plan
  • Baseline Data Collection
  • Baseline Performance
    • DPU and DPMO
  • Conclusion

Module 7 – Analyze


  • Introduction – Analyze Phase
  • Root Cause Analysis
  • Hypothesis Testing
    • Type I & II Errors
    • The “T” Test
  • Control Charts
  • Conclusion

Module 8 – Improve 


  • Introduction – Improve Phase
  • Single Improvement Tools
    • Conducting an FMEA
    • Poka-Yoke Techniques
  • Lean Tools
  • Statistical Tests of Improvement
    • Chi Square
    • F-Test
  • Constructing an ANOVA Table
  • Inference Space
  • Piloting a Solution
  • Design of Experiments
  • Implementation
  • Conclusion

Module 9 – Control


  • Introduction – Control Phase
  • Monitoring
  • The Control Plan and the Control Plan Document
  • Control
    • Measuring Performance with Cp/Cpk
    • ISO-9000
  • The Response Plan
    • The Role of FMEA
  • Planning for Continual Improvement
  • Closing out the Project
  • Conclusion

Module 10 – Conclusion


  • The Six Sigma Approach
  • The Benefits of Lean Tools
  • Flexibility
  • Difficulties Faced in Implementation of Six Sigma