The Black Belt
Individuals with an aptitude for statistics and a strong interest in understanding and making
breakthrough improvements in the processes:
- Execute and Deliver on Project Results (Expectations 5-10 projects per year),
- Communicate Project Status,
- Guide GB Projects and Schedule,
- Educate others on tools,
- Demonstrate credible application of tools,
- Lead Process Improvement Teams.
Black Belts are at the core of every Six Sigma Implementation. GE, Motorola and others used the term
"Black Belt" to describe "an individual who has developed a synergistic proficiency between his or her
technical discipline and the Six Sigma strategies, tactics and tools". These individuals will
continually work towards institutionalizing the effective use of these tools throughout the corporation,
its customers and its suppliers. Black Belts are Six Sigma project leaders who receive four weeks of
training focusing on the Six Sigma Roadmap and extensive statistical methodologies. Each week of
training is separated by one month to allow the Belt to align project progress to the training.
Successful Black Belts normally full time dedicated to Six Sigma Projects
Black Belt Training Pre-request:
- Participants must be currently employed and have a corporate Sponsor
- Participants must have a Six Sigma Champion identified who will support and mentor them during project
- Participants must arrive to class with at least one potential project or defined business problem for execution and completion over a four month period
- Participants must bring a laptop to class and have access to that laptop throughout Black Belt Training
- Participants must have basic skills in Excel and PowerPoint.
| Black Belt Curriculum: | |
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Week One - Define & Measure - Six Sigma Introduction - Project Selection - Voice of the Customer & Project CTQ - Team (Project) Charter - High Level Process Map (SIPOC) - QFD & Measurable CTQ Characteristic - Process Mapping - Process FMEA - Nature of Data - Performance Standard Definition - Specifications for the Y - Operational Definitions - Minitab Introduction - Sampling (Continuous & Discrete Data) - Measurement System Analysis - Gage R&R Study |
Week Two - Analyze - Project Reviews - Week One Review - Basic Statistics (Some Distribution) - Graphical Data Analysis - Baseline Process Capability Analysis - Benchmarking - Statistically Defined Project Goal - Variation Sources - Process Cause & Effect - Process Map Analysis - Hypothesis Testing Overview - Continuous Y; Discrete X - Non-Normal Data - Discrete Y; Discrete X - Continuous Y; Continuous X - Simple & Multiple Regression - General Linear Model |
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Week Three - Improve - Project Reviews - Week Two Review - Introduction to Improve - Introduction to DOE - Full Factorial Design - Replication & Repetition - Randomization - Process of Experimentation - Analyzing Full Factorial Design - Reducing the Size of Experiments - Confounding Effect - Screening Designs - Plackett-Burman Designs - Resolution - Other Designs for Experiments - Operating Tolerancing - Simulation |
Week Four - Control - Project Reviews - DOE Review - Introduction to Control - Measurement System Validation - Quality Planing - Risk Management - Mistake Proofing - SPC Introduction - Variable Control Charts - Attribute Control Charts - Process Focused Control Charts - Project Closure |
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