Six Sigma Master Black Belt Training and Certification

Certification Overview

The Pyzdek Institute’s Six Sigma Master Black Belt Certification offers a unique approach to mastering statistical methods in a practical, non-academic format. Designed as the next step after Six Sigma Black Belt certification, this program equips professionals to leverage statistical tools across various industries including manufacturing, supply chain, services, and healthcare. Participants will tackle real-world problems, drive cost reduction, and enhance Key Performance Indicators (KPIs) through our specialized workflows.

Certification details

Over 48 hours, attendees will dive deep into four critical workflows:

• Process Baseline workflow
• Process Optimization workflow
• Process Monitoring workflow
• Reliability Analysis workflow

This hands-on workshop focuses on practical application, using state-of-the-art statistical methods to reduce variation and enhance process capabilities. Successful completion of the course and its final exam will award participants the prestigious Pyzdek Institute Six Sigma Master Black Belt certification. A Certificate of Achievement is also available for those who opt out of the exam but demonstrate a thorough understanding of the course material.

Instruction Method:

This program is delivered through interactive workbooks and direct guidance from the instructor, eschewing traditional lectures and PowerPoint for a more engaging learning experience.

Comprehensive Body of Knowledge

Process Baseline workflow

Measurement integrity

• Planning
• Consistency Check
• Bias & Linearity Studies
• Manufacturing Specifications
• Noise studies, including EMP
• Gage Performance Curves and special considerations for final inspection systems
• Special considerations for destructive testing
• Attributes Analysis
• Uncertainty and business risk analysis

Analysis of existing data

• Triage
• Common misuse of Process Behavior Charts
• Regression
• Clustering

Current state evaluation

• Power and sample size
• Process centering studies
• Control Point Studies
• Process Output Studies

Process Optimization workflow

Observational Approach

• Over-processing waste in Process Behavior Charts
• Process Behavior Chart Arrays for control points
• Process Behavior Chart Arrays for product properties
• Process cause and effect
• Advantages and disadvantages of the observational approach
• Special considerations for short runs/frequent changeovers
• Special considerations for rare events
• Process Capability Analysis (PCA)
• Common PCA malpractices

Experimental Approach

• The Experimenter’s Mindset
• Economics of Designed Experiments
• Definitive Screening, I-Optimal and A-Optimal design generators
• Design Diagnostics (JMP only)
• DOE error-proofing
• Visualizing the statistical model
• Augmenting an experiment
• Making smart business decisions
• Advantages and disadvantages of the experimental approach

Process Monitoring workflow

• Sampling economics
• Short Run Process Behavior Charts
• Time weighted process behavior charts
• Multivariate process behavior charts
• Statistical methods for supplier management
• Statistical methods for customer management

Reliability Analysis basic workflow

• Planning and terminology
• Common RA distributions
• Probability Distribution Functions
• Survival Curves, Failure Curves, Hazard Curves
• Accelerated Life Testing