Six Sigma Black Belt

This course is delivered over 2 weeks, 3-day sessions per week (Tues-Thurs). Six Sigma Black Belt — Your next big step towards a major career move. With this course, you are enabled to become transformation agents, considered the ‘expert problem solvers’ on any team, and lead projects. With a more profound understanding of the philosophies of Six Sigma, a Black Belt individual can lead projects, mentor Green Belts and help the organization on the path to driving improvement and revenue.

Retail Price: $2,950.00

Next Date: 01/09/2024

Course Days: 6

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Learning Coverage:

  • Applying the DMAIC methodology to all project phases.
  • Manage team dynamics, assign responsibilities to team members, and work with all levels of management.
  • Recognize the organizational factors necessary for a successful Six Sigma venture.
  • Use and implement various process improvement techniques and modules.

Six Sigma Black Belt is Recommended For:

  • Individuals seeking leadership positions within their Six Sigma team.
  • Employees who want to become experts in Lean/Six Sigma methodologies.
  • Individuals who want to train and coach teams.

Course Requirement:

  • Basic understanding of Microsoft office products, such as Word, Excel, and PowerPoint.
  • Minitab Software: A software product that helps you to analyze the data. This software is designed primarily for Six Sigma professionals. It provides a simple and effective means to input the statistical data to manipulate & identify trends and patterns, and then extrapolate answers to the current issues.
  • Sigma XL: A powerful, easy to use tool that enables users to measure, analyze, improve and control their service, transactional, and manufacturing processes.

Week 1:

  • Green Belt Review
  • Multiple Regression
  • Advanced Multi-Vari
  • Attribute Measurements
  • Attribute Measurement Systems
  • Sample Size Calculations
  • Brainstorming Methods
  • Managing Change
  • Introduction to DOE
  • Full Factorial Experiments
  • Full Factorial Simulations
  • Fractional Factorial Designs
  • DOE Sample Size Selection
  • In-Class DOE Project
  • Project Planning and Deliverables
  • Project Review and Support

Week 2:

  • Design of Experiments Review
  • Blocking in Experiments
  • General Factorial Experiments
  • Residual Analysis
  • Non-Normal Data – Transformations
  • Non-Normal Data in Experiments
  • Sequential Experimentation
  • Response Optimization Designs
  • Multiple Response Optimization
  • Transactional Improvement
  • Simulations for Improvement
  • Applied Experimentation
  • Statistical Process Control
  • Mistake Proofing
  • Control Methods
  • Project Closure and Synergy
  • Class Project
  • Integration of Lean
  • Project Reviews
  • Final Exam required for CEUs & PDUs
Course Dates Course Times (EST) Delivery Mode GTR
1/9/2024 - 2/6/2024 10:00 AM - 4:00 PM Virtual Enroll
3/26/2024 - 4/23/2024 10:00 AM - 4:00 PM Virtual Enroll
5/14/2024 - 6/11/2024 10:00 AM - 4:00 PM Virtual Enroll