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GATL 0115: Six Sigma Black Belt
Gatlin Education Online Course

Course Description
Features
Topic Highlights
Certificate Requirements
Course Objectives
PDF Brochure
Who Should Attend
PC Requirements
Instructor
FAQ


COURSE DESCRIPTION

The Black Belt training program integrates online learning with hands-on data analysis. The course material provides an in-depth look at the DMAIC problem-solving methodology, as well as deployment and project development approaches. The course flow follows the DMAIC methodology, with the appropriate tools and concepts taught at each stage of project deployment. Since software will be used for data analysis, the course material concentrates on the application and use of the tools, rather than on detailed derivation of the statistical methods. Workshops are incorporated extensively throughout the training to challenge the student's analytical and problem-solving skills.

FEATURES

 
Registration
Start at any time, and work at your own pace.

Click here to download the registration form.
Demo
Demo coming soon!
Fee

$2,795

Length

200 Hours

CEUs

20 CEUs

Included Materials
In addition to the online access, each course includes the following materials for a complete learning experience:
  • Six Sigma Handbook by Thomas Pyzdek
  • Six Sigma Demystified by Paul Keller
  • Green Belt XL software by Quality America
Contact Info.
  • Online contact form
  • Address:
      George Mason University
    Office of Continuing Professional Education
      4400 University Drive, MS 2G2
      Fairfax, VA 22030
  • Telephone: 703-993-2113
  • Fax: 703-993-2121

  • This nationally recognized Six Sigma Black Belt online training certification course integrates Six Sigma Black Belt online learning with hands-on data analysis. The Six Sigma Black Belt online certificate course material provides an in-depth look at the Six Sigma Black Belt DMAIC problem-solving methodology, as well as deployment and project development approaches. All materials included. This on-line program is only offered in partnership with major colleges and universities.

    TOPIC HIGHLIGHTS

    1. Why Do Six Sigma
      1. Definition and graphical view of Six Sigma
      2. Comparisons between typical TQM and Six Sigma Programs
        1. Overview of business applications
        2. Example Sigma Levels
        3. Introduction to DPMO and cost as metrics
      3. Origins and Success Stories
    2. How to Deploy Six Sigma
      1. Leadership responsibilities
      2. Description of the roles and responsibilities
      3. Resource allocation
      4. Data driven decision making
      5. Organizational metrics and dashboards
    3. Six Sigma Projects
      1. Project Focus
      2. Selecting Projects
      3. Overview of DMAIC methodology
      4. Project Reporting
    4. Incorporating Voice of the Customer
      1. Goal Posts vs. Kano
      2. Customer Focus and the Leadership Role
      3. Overview of QFD
      4. Customer Data
      5. Big Y's, Little Y's
    5. DEFINE: Project Definition
      1. Tasks
      2. Work Breakdown Structure
      3. Pareto Diagrams
      4. Process Maps
      5. Matrix Diagrams
      6. Project Charters
      7. Reporting
    6. DEFINE: Project Financials
      1. Quality Cost Classifications
      2. Quantifying Project Benefits
      3. Calculations
    7. DEFINE: Goals & Metrics
      1. CTC, CTQ, CTS Parameters
      2. CTx Flow-down Model (Big Y's, Little y's)
      3. Measurement & Feedback
      4. Calculating Sigma Levels
    8. DEFINE: Project Scheduling
      1. Activity Network Diagram
      2. PERT Analysis
      3. GANNT Chart
    9. DEFINE: Change Management / Teams
      1. Problems with Change
      2. Achieving Buy-In
      3. Team Formation, Rules & Responsibilities
        1. Stages of Team Development
        2. Overcoming Problems
      4. Consensus Building
        1. Affinity Diagram
        2. Nominal Group Technique
        3. Prioritization Matrix
    10. MEASURE: Tools
      1. Measure Stage Objectives
      2. Flowcharts
      3. Process Maps
      4. SIPOC
      5. Box-Whisker Plots
      6. Cause & Effect Diagrams
      7. Check Sheets
      8. Interrelationship Digraph
      9. Stem & Leaf Plots
    11. MEASURE: Establishing Process Baseline
      1. Enumerative vs. Analytic Statistics
      2. Process Variation
        1. Deming's Red Bead
      3. Benefits of Control Charts
      4. Requirements vs. Control
        1. Tampering
      5. Control Chart Interpretation
        1. Relative to Process Baseline Estimates
    12. MEASURE: X-Bar Charts
      1. Uses
      2. Construction & Calculations
      3. Assumptions
      4. Rational Subgroups
      5. Sampling Considerations
      6. Interpretation
        1. Run Test Rules
    13. MEASURE: Individuals Data
      1. Uses
      2. Construction & Calculations
      3. Assumptions
      4. Sampling Considerations
      5. Interpretation
      6. Overview of Other Individuals Charts
        1. Run Charts
        2. Moving Average Charts
        3. EWMA Charts
    14. MEASURE: Process Capability
      1. Histograms
      2. Probability Plots
      3. Goodness of Fit Tests
      4. Capability & Performance Indices
        1. Relative to Process Control
        2. Interpretation
        3. Estimating Error
    15. MEASURE: Attribute Charts
      1. Uses
      2. Selection
      3. Construction & Calculations
      4. Sampling Considerations
    16. MEASURE: Short Run SPC
      1. Uses
      2. Calculations
        1. Nominals chart
        2. Stabilized Chart
    17. MEASURE: Measurement Systems Analysis
      1. Stability Studies
      2. Linearity Analysis
      3. R&R Analysis
        1. Range Method Calculations
        2. Interpretation
        3. Using Control Charts
        4. Destructive Tests
        5. ANOVA Method
    18. ANALYZE: Lean Thinking
      1. Definition of Waste
      2. Analyzing Process for NVA
        1. Cycle Efficiencies
        2. Lead Time and Velocity
      3. Methods to Increase Velocity
        1. Standardization
        2. Optimization
        3. Spaghetti Diagrams
        4. 5S
        5. Level Loading
        6. Flow
        7. Setup Reductions
    19. ANALYZE: Sources of Variation
      1. Multi-vari Plots
      2. Confidence Intervals on Mean
      3. Confidence Intervals on Percent
      4. Hypothesis Test on Mean
      5. Hypothesis Test on Mean of Two Samples
      6. Power & Sample Size
      7. Contingency tables
      8. Non-parametric Tests
    20. ANALYZE: Regression Analysis
      1. Scatter Diagrams
      2. Linear Model
      3. Interpreting the ANOVA Table
      4. Confidence & Prediction Limits
      5. Residuals Analysis
      6. Overview of Multiple Regression Tools
        1. DOE vs. Traditional Experiments & Data Mining
    21. ANALYZE: Multiple Regression
      1. Multivariate Models
      2. Interaction Plots
      3. Interpreting ANOVA Tables
      4. Model Considerations
      5. Stepwise Regression
      6. Residuals Analysis
    22. ANALYZE: DOE Introduction
      1. Terminology
      2. DOE vs. Traditional Experiments
      3. DOE vs. Historical Data
      4. Design Planning
      5. Design Specification
        1. Selecting Responses
        2. Selecting Factors and Levels
      6. Complete Factorials
      7. Fractional Factorials
        1. Aliasing
        2. Screening Designs
    23. ANALYZE: DOE Analysis Fundamentals
      1. Estimating Effects and Coefficients
      2. Significance Plots
      3. Estimating Error
      4. Extending Designs
      5. Power of Design
      6. Lack of Fit
      7. Tests for Surface Curvature
    24. ANALYZE: Design Selection
      1. Desirable Designs
      2. Performance
        1. Balance
        2. Orthogonality
        3. Resolution
      3. Other Design Models
        1. Saturated Designs
        2. Plackett Burman Designs
        3. Johns 3/4 Designs
        4. Central Composite Designs
        5. Box Behnken Designs
        6. Taguchi Designs (mention)
    25. ANALYZE: Transforms
      1. Need for Transformations
      2. Non-Constant Variance
      3. Box-Cox Transforms
      4. Calculated Parameters
      5. Taguchi Signal to Noise Ratios
    26. IMPROVE: Tools
      1. Improve Stage Objectives
      2. Tools to Prioritize Improvement Opportunities
      3. Tools to Define New Process Flow
        1. Lean Tools to reduce NVA and Achieve Flow
      4. Tools to Define & Mitigate Failure Modes
        1. PDPC
        2. FMECA
        3. Preventing Failures
      5. Reference to Tools for Defining New Process Levels
    27. IMPROVE: Response Surface Analysis
      1. Objectives
      2. Applications
      3. Sequential Technique
      4. Steepest Ascent
    28. IMPROVE: Ridge Analysis
      1. Graphical Method
      2. Analytical Method
      3. Overlaid Contours
      4. Desirability Function
    29. IMPROVE: Simulations
      1. Applications
      2. Examples
      3. Applying Probabilistic Estimates
    30. IMPROVE: Evolutionary Operation
      1. Methodology
      2. Example
      3. Risks & Advantages
    31. CONTROL: Tools
      1. Control Stage Objectives
      2. Control Plans
      3. Training
      4. Measuring Improvement
    32. CONTROL: Serial Correlation
      1. Applications
      2. Estimating Autocorrelation
      3. Interpreting Autocorrelation
      4. Batch Control Charts
    33. Design for Six Sigma Overview
      1. Methodology
      2. Tools for DFSS
      3. System, Parameter and Tolerance Designs

    CERTIFICATE REQUIREMENTS

    A 70% or better must be achieved in order to receive a Certificate of Completion.

    COURSE OBJECTIVES

    By completing this course, students will be able to:

    • Participate in the development of a successful Six Sigma program.
    • Contribute to the definition of project selection criteria and develop project proposals to meet those criteria.
    • Lead a Six Sigma project team, using the DMAIC problem solving methodology and team building skills.
    • Apply and interpret basic and advanced Six Sigma tools, as necessary, for project definition, process baseline analysis, process improvement, and process control.

    PDF BROCHURE

    Please click here to download the PDF brochure for the Gatlin online courses offered by OCPE.

    This brochure and the registration form for this course require Adobe Reader. Click here to download the latest version of Adobe Reader.

    WHO SHOULD ATTEND

    Black Belt candidates generally have college degrees in industry-related fields, including business, engineering, or sciences. They are comfortable using mathematics, are experienced problem solvers, have college-level reading comprehension skills, and are proficient in using Windows-based computer software, including MS Office and general statistical software packages.

    This training is suitable for anyone with the appropriate pre-requisites with the desire to lead teams using the DMAIC methodology and advanced statistical tools.

    PC REQUIREMENTS

    To access this course and Study Guide, users need only a web-enabled computer. To run the Green Belt XL software, users need one of the following Microsoft Excel versions running in MS Windows: Excel 97, Excel 2000, Excel 2002 or Excel XP. Black Belts should also have a general statistical software package, such as Minitab.

    INSTRUCTOR

    Paul A. Keller, Vice President, is a Senior Consultant with Quality America. Paul has developed and implemented successful Six Sigma and quality improvement programs in service and manufacturing applications and is a part-time George Mason University, OCPE, Gatlin instructor.

    Paul is author of McGraw Hill's Six Sigma Demystified, providing a practical methodology for deploying Six Sigma and its DMAIC problem-solving approach. His prior publications include Six Sigma Deployment: A Guide for Implementing Six Sigma in Your Organization , as well as numerous articles and book chapters on Quality Improvement and Six Sigma methods. Paul has developed and led well received training and consulting programs in Six Sigma and related topics to numerous clients in diverse industries, including MacDermid Printing Solutions, Boeing Satellite, Dow Corning, Antec, Pfizer, Los Alamos National Labs, Parker Hannifan Fuel Products, Warner Lambert, University of Arizona, Bell Atlantic, Ford Motor Company and many others.

    Before launching Quality America's training and consulting business in 1992, Paul specialized in Quality Engineering in the Masters Program at the University of Arizona. He later served as a Quality Manager for a consumer goods manufacturer, and an SPC Director at an industrial products manufacturer. In these roles, he developed company-wide Quality Systems to meet the demands of a diverse customer base, including the automotive and aerospace industries.

    Paul is currently active in Six Sigma training and consulting through Quality America. Paul may be reached via e-mail at pkeller@qualityamerica.com.


    FAQ

    1. How do I register for a Gatlin online course?

    Gatlin does not offer courses directly to the public. It offers courses through George Mason University and other colleges and universities. Please contact our office at 703-993-2113 or click here for more information or to register for a course.

    2. How much do Gatlin online courses cost?

    To view the prices for all Gatlin courses that are offered by George Mason University, please click here.

    3. Why do I have to take Gatlin courses through a participating school?

    That is the only way Gatlin Education Services offers its courses. They do not deal directly with the public.

    4. Do I have to travel to register for or to attend a Gatlin online course?

    All Gatlin courses are delivered entirely online, so you do not have to go to a class or travel to a school. Please contact our office at 703-993-2113 or click here for more information or to register for a course.

    5. How long does it take to complete a Gatlin course?

    All of our Gatlin courses are asynchronous. You can start and finish the course at your own pace. Most courses are designed to be completed within 180 days. You may request an extension if you think you will need more time to complete a course. Please contact us at 703-993-2113 or click here if you have any questions or if you would like to register for a course.

    6. Do I have to buy additional materials?

    Please refer to the green Included Materials box located on the upper right hand side of this page. If materials are included in this course, they will be shipped by Gatlin to you via UPS ground service after you have registered for a course.

    7. Can I get financial aid for Gatlin courses?

    George Mason University offers financial assistance through the Sallie Mae Training Loan Program for qualifying students. Call 703-993-2113 for more information. GES also provides a loan opportunity for students (www.collegeloanapplication.com).

    8. What happens when I complete the course?

    If you obtain a final passing grade of 70% or greater in a course, we will award you a George Mason University certificate of completion.

    9. Who will be my instructor?

    Each student is paired up with a George Mason University, OCPE, Gatlin facilitator for one-on-one interaction. The facilitator will be available (by e-mail or by telephone) to answer any questions you may have and to provide feedback on your performance. All of our facilitators are successful working professionals in the fields in which they teach.

    10. What are the system requirements in order to take an online course?

    Please see the "PC requirements" section listed for individual courses.

    11. When can I start the course?

    You can register for a course at any time.

     

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