Lean Six Sigma Black Belt Certification Training

Define Phase The Basics of Six Sigma

•  Meanings of Six Sigma
•  General History of Six Sigma & Continuous Improvement
•  Deliverables of a Lean Six Sigma Project
•  The Problem Solving Strategy Y = f(x) 1.1.5 Voice of the Customer, Business and Employee
•  Six Sigma Roles & Responsibilities

The Fundamentals of Six Sigma

•  Critical to Quality Characteristics (CTQs)
•  Cost of Poor Quality (COPQ)
•  Pareto Analysis (80:20 rule)
•  Basic Six Sigma Metrics: including DPU, DPMO, FTY, RTY Cycle Time, deriving these metrics

Selecting Lean Six Sigma Projects

•  Building a Business Case & Project Charter
•  Developing Project Metrics
•  Financial Evaluation & Benefits Capture

The Lean Enterprise

•  Understanding Lean
•  The History of Lean
•  Lean & Six Sigma
•  The Seven Elements of Waste: a. Overproduction, Correction, Inventory, Motion, Overprocessing, Conveyance, Waiting Straighten, Shine, Standardize, Self-Discipline, Sort

Measure Phase Process Definition

•  Cause & Effect / Fishbone Diagrams
•  Process Mapping, SIPOC, Value Stream Map
•  X-Y Diagram
•  Failure Modes & Effects Analysis (FMEA)

Six Sigma Statistics

•  Basic Statistics
•  Descriptive Statistics
•  Normal Distributions & Normality
•  Graphical Analysis

Measurement System Analysis

•  Precision & Accuracy
•  Bias, Linearity & Stability
•  Gage Repeatability & Reproducibility
•  Variable & Attribute MSA

Process Capability

•  Capability Analysis
•  Concept of Stability
•  Attribute & Discrete Capability
•  Monitoring Techniques

Analyze Phase Patterns of Variation

•  Multi-Vari Analysis
•  Classes of Distributions

Inferential Statistics

•  Understanding Inference
•  Sampling Techniques & Uses
•  Central Limit Theorem

Hypothesis Testing

•  General Concepts & Goals of Hypothesis Testing
•  Significance; Practical vs. Statistical
•  Risk; Alpha & Beta
•  Types of Hypothesis Test

Hypothesis Testing with Normal Data

•  sample t-tests
•  sample variance
•  One Way ANOVA: a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.

Hypothesis Testing with Non-Normal Data

•  Mann-Whitney
•  Kruskal-Wallis
•  Moods Median
•  Friedman
•  Sample Sign
•  Sample Wilcoxon
•  One and Two Sample Proportion
•  Chi-Squared (Contingency Tables): a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.

Improve Phase Simple Linear Regression

•  Correlation
•  Regression Equations
•  Residuals Analysis

Multiple Regression Analysis

•  Non- Linear Regression
•  Multiple Linear Regression
•  Confidence & Prediction Intervals
•  Residuals Analysis
•  Data Transformation, Box Cox

Designed Experiments

•  Experiment Objectives
•  Experimental Methods
•  Experiment Design Considerations

Full Factorial Experiments

•  Full Factorial Designs
•  Linear & Quadratic Mathematical Models
•  Balanced & Orthogonal Designs
•  Fit, Diagnose Model and Center Points

Fractional Factorial Experiments

•  Designs
•  Confounding Effects
•  Experimental Resolution

Control Phase Lean Controls

•  Control Methods for 5S
•  Kanban
•  Poka-Yoke (Mistake Proofing)

Statistical Process Control (SPC)

•  Data Collection for SPC
•  I-MR Chart
•  Xbar-R Chart
•  U Chart
•  P Chart
•  NP Chart
•  X-S chart
•  CumSum Chart
•  EWMA Chart
•  Control Chart Anatomy
•  Subgroups, Impact of Variation, Frequency of Sampling
•  Center Line & Control Limit Calculations

Six Sigma Control Plans

•  Cost Benefit Analysis
•  Elements of the Control Plan
•  Elements of the Response Plan

 Duration: 5 Days

 Venue: TBA

From the Course you will:

•  Learn the principles and philosophy behind the Lean Six Sigma method
•  Learn to apply statistical methods to improve business processes
•  Design and implement Six Sigma projects
•  Learn the DMAIC process
•  Work on root cause analysis and basic statistical analyses on process measurements
•  Learn to identify and control wasteful processes
•  Learn to evaluate daily activities, to reduce cycle times, and improve quality
•  Evaluate problems, statistically and quantitatively
•  Increase profitability using Lean Six Sigma methodology
•  Lead the Six Sigma team in your organization, and mentor Green and Yellow Belts
•  Prepare for the IASSC LeanSix Sigma Black Belt certification exam

From the Workshop:

•  40 PDUs
•  High-quality training from experienced instructor
•  Downloadable courseware
•  End-to-end support via phone, email and chat

In order to get the professional designation of IASSC Certified Black Belt (ICBB) from the International Association for Six Sigma Certification, candidates must pass the IASSC Certified Lean Six Sigma Black Belt Exam with a minimum score of 580 points out of a total potential of 750 points. The ICBB Exam is a 4 hour 150 question, closed book, proctored exam. The Exam contains approximately 30 multiple-choice and true/false questions from each major section of the Black Belt Body of Knowledge which can be downloaded from this link: http://www.iassc.org/six-sigma-certification/black-belt-certification/black-belt-body-of-knowe dge/