Lean Six Sigma Green Belt

BTI’s Lean Six Sigma Green Belt training is designed for systems, software, and hardware engineers, program managers, and process improvement, and quality assurance personnel who want to solve challenges and help their organizations improve.  The course is focused on learning and applying both technical and people skills as a basis for Lean Six Sigma project success.

BTI’s Lean Six Sigma Green Belt training is taught as a five-day classroom or online instructor-led course.  BTI’s Green Belt class covers the information required for the ASQ Certified Green Belt exam.

The course is offered both online and in-person classroom training.  In addition to 35 hours of instruction, the student will have online assignments outside of class to exercise the skills learned in class.  Although not required, students may bring information on their current project to class to consult with the instructors.

The course includes discussion of applying Lean Six Sigma in organizations using systems, software, and hardware engineering to develop, upgrade, and maintain technology-based products and services.

BTI supplies all instructional slides, books, student materials, and exercises for the course, including:

  • The Quality Council of Indiana’s Lean Six Sigma Green Belt Primer
  • Lean Six Sigma Mathematics and R
  • A course completion certificate for each student
  • Breakfast and lunch on all days (classroom offerings only)
  • 35 PDUs!
  • LSS quick-reference card
  • Practice exam

 

Price Per Student Additional Information
Virtual (online) instruction $1,800.00 None
Classroom instruction $2,500.00 None
Onsite at your location classroom instruction $1,800.00
  • The hosting organization must provide classroom—please contact us to discuss!
  • Breakfast and lunch not provided.
  • Depending on location, may require instructor travel to your location.

Topics Covered Include:

The topics covered exactly address all topics the student will need for the ASQ Lean Six Sigma Green Belt certification test.

  • Lean Six Sigma Goals

    • Value of Six Sigma
    • Origins of Six Sigma
    • Organizational Drivers
    • Goals and Projects
  • Lean

    • Lean Principles
    • Lean Concepts and Tools
    • Non-Value-Added Activities
    • Theory of Constraints
  • Design for Six Sigma

    • Design for Six Sigma Recipes
    • Quality Function Deployment
    • FMEA Varieties
  • Define

    • Stakeholders
      • Process Management for Projects
      • Process Elements
      • Owners and Stakeholders
      • Identify Customers
      • Collect Customer Data
      • Analyze Customer Data
      • Translate Customer Requirements
      • Team Dynamics and Performance
      • Team Stages and Dynamics
      • Six Sigma and Other Team Roles
      • Team Tools
      • Communications
    • Projects and Implementation
      • Project Management Basics
      • Project Charter
      • Project Scope
      • Project Metrics
      • Project Planning Tools
      • Project Documentation
      • Project Risk Analysis
      • Project Closure
      • Management and Planning Tools
      • Business Results for Projects
      • Process Performance
      • FMEA
  • Measure

    • Analysis Techniques
      • Process Analysis and Documentation
      • Process Modeling
      • Process Inputs and Outputs
      • Collecting and Summarizing Data
      • Data Types
      • Data Collection Methods
      • Data Accuracy and Integrity
      • Descriptive Statistics
      • Graphical Methods
    • Probability and Statistics
      • Valid Statistical Conclusions
      • Central Limit Theorem
      • Basic Probability Concepts
      • Common Probability Distributions
      • Binomial Distribution
      • Poisson Distribution
      • Normal Distribution
      • Chi-square Distribution
      • Student’s t Distribution
      • F Distribution
    • Capability & Measurement Systems
      • Measurement System Analysis
      • Process Capability and Performance
      • Process Capability Studies
      • Process Performance vs. Spec
      • Process Capability Indices
      • Short-term vs. Long-term Capability
      • Process Capability for Attributes
  • Analyze

    • Exploratory Data Analysis
    • Multi-variate Studies
    • Correlation and Regression
    • Hypothesis Testing
    • Basic Concepts
    • Point & Interval Estimation
    • Major Tests
    • Paired-comparison Tests
    • Single-Factor ANOVA
    • Chi-square Goodness of Fit
  • Improve: Design of Experiments (DOE)

    • Introduction
    • Terminology
    • Design Types
    • Implement and Validate Solutions
    • Response Surfaces
    • EVOP
    • DOE Improvement Analysis
  • Control: Statistical Process Control (SPC)

    • Objectives and Benefits
    • Rational Subgrouping
    • Application of Control Charts
    • Variable Charts
    • Attribute Charts
    • Analysis of Control Charts
    • Control Plan

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