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Air Academy Associates Lean Six Sigma Green Belt

Continual Improvement

Lean Six Sigma

Course Length

80 Hours

Max Attendees


Course Description

Recognized throughout the industry and proven within hundreds of companies, Air Academy Associates’ Lean Six Sigma Green Belt program teaches the tools and methodologies of DMAIC (Define, Measure, Analyze, Improve, Control) and simple, but effective approaches to applying statistics. These tools are essential in establishing a knowledge-based approach for a continuous improvement culture throughout your organization. Students will apply the knowledge learned through exercises, simulations, and project work assigned by your company between the 1st and 2nd weeks of the course. Students should have a project selected before beginning the class (A laptop is needed for statistical software).

Upon completion of the class, students will have the option of becoming a certified Lean Six Sigma Green Belt. Air Academy is one of the most recognized Lean Sigma certifications in the country. The cost includes the exam fee and the project evaluation fee.

Course Objectives

Week 1:
• Project master strategy – DMAIC
• What is value and the concepts of a value stream • IPO diagrams
• Types of data – variable vs. attribute
• Measures of data – mean, std, Cp, Cpk
• Process flow diagrams, cause, and effects diagrams, constant vs. noise variables
• Quality measures of attribute data – FPY, RTY
• Project selection/Project charter
• Project teamwork
• Change management
• Understanding the voice of the customer (HOQ)
• IPO to SIPOC diagram
• Process mapping
• Graphical analysis of data
     • Pareto, histogram, box plots, scatter plot
• Numerical measures of data
     • Location – mean, median
• Dispersion – variance, std
• Measures of quality for variables data
     • Cp, Cpk, sigma level, dpm, sigma capability
• Measures of quality for attribute data
     • FPY, dpu, dpmo, sigma capability

Week 2:
• Identifying potential causes of variation
• CE diagram, brainstorming, process observation
• 7 classic types of wastes
• Value added vs. Non-Value Added
• Analyzing work
• TAKT time, Cycle Time, Operator Loading
• Central Limit Theorem
• Confidence intervals
     • Mean
     • Proportions
• Sample size
     • Mean
     • Proportions
• Narrowing the focus – Nominal voting, Effort/Impact, Pairwise Comparison techniques
• Hypothesis testing
     • t-test
     • f-test
     • Test of proportions
     • χ2 test for independence
• Workplace organization 5S
• Batch vs. single piece flow
• Cellular manufacturing
• Kaizen
• Control charts
     • X bar R
     • IMR
     • P chart
     • C charts
• Long term and short-term capability
• Control plans
• Project documentation