Reliable data is required for Lean Six Sigma Improvement projects. This 2-day module explains how to collect data to quantify the current state and establish desired improvement goals. LSS-101: Introduction to Lean Six Sigma must be taken before LSS-102: Measuring Process Performance-I.
By the end of the course, participants will learn how to:
- Conduct process walks, apply good interviewing and listening techniques, and identify “low hanging fruit” opportunities for improvement
- Create accurate value stream maps
- Recognize basic data types: quantitative and categorical
- Identify X and Y variables for your LSS project
- Perform sample size calculations for data collection
- Collect data that is representative of the current state
- Calculate project benefit metrics based on quantitative and categorical data
Tools participants will learn:
- Observing the current state
- Value stream mapping
- Sample size calculation
- Basic statistics and normal distribution
Who Should Attend:
This course is designed for Engineers, Quality Analysts, Process Improvement Specialists, Program Managers, Project Leaders, and others who want to learn the Six Sigma Green Belt methodology and apply it to make breakthrough improvements in performance within their workplace.
LSS-101: Introduction to Lean Six Sigma
Location: Location and driving directions will be emailed separately upon registration.