Lean Six Sigma Black Belt


Program Overview       Download Brochure

This Lean Six Sigma Black Belt training develops delegates into expert-level problem solvers—giving them the hard skills they need to lead successful improvement teams and achieve strategic objectives in any function or department of any organization.

This intensive 5- day program develops understanding and enables application of proven approaches to maximizing productivity through understanding process requirements, identifying constraints and creating flow. Delegates will be provided with the established Lean Six Sigma body of knowledge, the experience to implement it in the workplace through a group project and the credentials to be a Lean Six Sigma leader within their organization.

This interactive course will explore how Lean Six Sigma methodology can help your organization solve both technical and human challenges of sustainable projects and will improve the project management processes and mindsets alike.We will explore the lean six sima through a series of dynamic presentations, cutting edge videos, exciting group activities, and real-world applicable case studies.

Key Takeaways

  1. Be confident that your DMAIC and problem solving projects are effective
  2. Share understanding across your business of where and how to make improvements
  3. Improve efficiency, save time, cut costs and boost customer satisfaction
  4. The tools needed for project completion
  5. How to use statistical tool in conjunction with Lean Six Sigma
  6. Tools such as project charters, FMEA, Kaizen and control charts
  7. Basic statistical tools such as Pareto charts, histograms and inferential statistics. 

*Successful completion of the course materials, and exam makes you a  Lean Six Sigma Black Belt . You can use this designation on your resume and business card. 

*Earn Professional Development Units towards maintaining your relevant certification/license.

*Earn (Professional Development Credit) upon successful completion of this program toward SHRM.

Who Should Attend This Program 

This highly interactive program is designed for (but not limited to)

  • Executives
  • Managers
  • Supervisors
  • Project Team Leaders
  • Quality Assurance Managers
  • Process Control Engineers
  • Key Production Managers
  • Plant Managers & Superintendents
  • Energy/Utilities Managers/Environmental Engineers
  • Health Care Operational & Service Personnel
  • Leaders Responsible for Capital & Operational Functions
  • Construction Managers
  • Project Superintendents
  • Waste Control Personnel
  • Service Industry and Hotel Operational Staffing Managers
  • all other personnel who want to achieve operational excellence in the organization.

Course Requirements

Delegates must meet the following criteria to be eligible for certificate of completion:

  1. Attendance – delegates must attend all sessions of the course. Delegates who miss more than two hours of the course sessions will not be eligible to sit for the Lean Six Sigma Black Belt Examination.
  2. Successful completion of the course exam– Upon completion of this training course and examination you will receive your Lean Six Sigma Black Belt Certification  which has been fully accredited by IASSC.

Topics That Will Be Covered

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)
    • Voice of the Customer, Business and Employee
    • Six Sigma Roles & Responsibilities
  • The Fundamentals of Six Sigma
    • Defining a Process
    • Critical to Quality Characteristics (CTQ’s)
    • Cost of Poor Quality (COPQ)
    • Pareto Analysis (80:20 rule)
    • Basic Six Sigma Metrics including DPU, DPMO, FTY, RTY Cycle Time, deriving these metrics and 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: Overproduction, Correction, Inventory, Motion, Overprocessing, Conveyance, Waiting.
    • 5S: 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
    • 1 & 2 sample t-tests
    • 1 sample variance
    • One Way ANOVA: 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
    • Mood’s Median
    • Friedman
    • 1 Sample Sign
    • 1 Sample Wilcoxon
    • One and Two Sample Proportion
    • Chi-Squared (Contingency Tables: 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

  • 2k 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
  • Cost Benefit Analysis
  • Elements of the Control Plan
  • Elements of the Response Plan