Six Sigma Green Belt

The Six Sigma strategy involves the use of statistical tools within a structured, disciplined methodology for gaining the knowledge needed to produce better quality products and services faster and at at significantly lower costs by reducing variation, rework, scrap, waste, downtime, and other losses.

Qualitran has developed a stimulating training regimen for Six Sigma Green Belts. These are Six Sigma team members that participate in Six Sigma breakthrough projects designed to achieve quantum-leap improvements in process performance. This training is ideal for supervisors, process technicians and operators who need to understand the Six Sigma methodology and be able to participate in and support Six Sigma projects. Technical jargon and complex statistics are kept to a minimum while focussing on hands-on tools for process improvement and control. This training is presented in two blocks of four days of dynamic learning that features the best of twenty three years of training experience at Qualitran.


		Green Belt Certification Qualitran issues Six Sigma Green Belt certificates of competency to participants who have completed the training program. Successful completion requires attendance at all training sessions and classroom participation in all exercises, workshops and process simulations as well as the passing a two hour Six Sigma Greenbelt Examination. A four day condensed version of this training is also available

	Training Cost:




Greenbelts in Action with Statapult


	This training is can be provided on site for 10 -15 students at a fixed cost of $ 2,500 U.S. per student. This price includes all course handouts which include Qualitran's Greenbelt Training Manual, Six Sigma Memory Jogger, and a copy of The SPC BOOK. Client to supply training facilities.


	Program Outline: (2 blocks of 4 days)

Day - Topic	Outline
1 Knowledge Based Management Basics of Six Sigma	What is Six Sigma?, Knowledge Based Management, Cost of Poor Quality, and ROI, The Systems Approach, Types of Variation and Causes, The Deming Management Method, Questions Mangers Need to Ask, Tools to Answer Questions, The Measure, Analyze, Improve, Control methodology
2 Basic Statistical Tools	Basic Statistics, Variation, Distributions, Process Capabilty, Six Sigma Metrics, Variables Data Distributions, Attribute Data Distributions, Measurement System Analysis, Scatterplots & Regression Analysis, Process Variation Workshop - Statapult
3 Six Sigma Break- through Method "A"	The Deming Cycle, Universal Sequence for Breakthrough, The DMAIC process, PCOR activities, Project Selection and Definition, Matrix Decision Analysis, Data Types and Collection, Graphical Techniques, Pareto Analysis, Process Mapping, Flowcharting, FMEA, Statapult Workshop
4. Statistical Process Control (Basic)	Problem of Process Drift, Central Limit Theorem, Nelson Funnel Experiment, Variables Control Charts (X bar R, XMR, M Xbar MR), DPMO charts, Attribute Control Charts (np,p, c, u) Applications, Statapult Workshop
5 Six Sigma Break- through Method "B"	Improvement Methodology, Developing Theories, Cause and Effect Analysis, Structure Tree Analysis, CEDAC diagrams, Basics of Experimentation, Testing Theories, Force Fields, Implementation, ROI Cost/Benefit Analysis
6 Statistical Process Control - (Advanced)	Assumptions Underlying Shewhart Charts, Charts for Non Normal Data, Continuous Processes, Autocorrelation, CUSUM charts, EWMA charts, Correllograms, EWMA Prediction Charts, Case Study Workshop, Introduction to Designed Experimentation
7 Design of Experiments	Design of Experiments theory, One Variable At A Time, Two and Three Factor Factorial Design, Main Effects and Interactions, Video " Planned Experimentation" Statapult DOE workshop, Fractional Factorial Designs, Factor Aliasing, Screening,
8 Quality Planning Six Sigma Implementation	Design for Six Sigma, Quality Function Deployment, Hoshin Kanri Planning Techniques, Implementing Six Sigma, Infrastructure Requirements, Leadership Issues, Final Exam

Chief Trainer: Les Galicinski, P. Eng.

Les Galicinski is president and founder of Qualitran Professional Services Inc. He has instructed thousands of managers, engineers, supervisors and others in quality methodology and techniques and has authored several books. His background includes a B.Sc. in Electrical Engineering from Queen's University and a career with IBM, Xerox, and GE Canada as a Product Engineer and Quality Assurance Manager. He has instructed courses in Quality Control, Management and SPC for Centennial College, Georgian College, IBM, Xerox, CGE and as a private consultant. For the past twenty years, he has been president and chief consultant at Qualitran where he has serviced clients such as Motorola, Mack Trucks, Eveready Battery Company, Lockheed Martin and the U.S. Navy. He has provided training to hundreds of client companies. (See Client List)


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