Lean Six Sigma – Black Belt

The IASSC Certified Lean Six Sigma Black Belt™ (ICBB™) is a professional who is well versed in the Lean Six Sigma Methodology, who leads complex improvement projects, typically in a full-time capacity. A Lean Six Sigma Black Belt possesses a thorough understanding of all aspects of the Lean Six Sigma Method including a high level of competence in the subject matters contained within the phases of Define, Measure, Analyze, Improve and Control (DMAIC) as defined by the IASSC Lean Six Sigma Black Belt Body of Knowledge™.A Lean Six Sigma Black Belt understands how to implement, perform, interpret and apply Lean Six Sigma at an advanced level of proficiency.

Learning Outcomes:

Upon successful completion of this course, participants should be able to:

Understanding and implementation of the concepts of Six Sigma.
Ability to plan projects to achieve maximum process efficiency.
Capability to recognize elements of waste and countering them.
Skill to measure key aspects of a process to collect relevant data.
Ability to create a process map.
The ability to identify and measure process capability.
Ability to analyze data accurately to find cause-and-effect relationship and identify the root cause of errors.
Hypothesis testing knowledge.
Ability to improve processes based on analysis.
Understanding of how to use various industry models for process improvement.
Ability to control processes.
Ability to ensure errors are removed before they can damage a process.
Understanding of capability analysis.
Understanding and use of lean.
Skill to control processes, productivity and waste.

Examination Details:

Consist of 150 Questions
Duration: 240 Minutes
Passing Rate: 70%

The exam voucher is included in the course package.

Duration

8 Days

Certificate

Lean Six Sigma - IASSC® Certified Black Belt™ ICBB™

Governing Body

International Association for Six Sigma Certification (IASSC)

Identification of Six Sigma Project in the Organization.
Define Phase

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: a. including DPU, DPMO, FTY, RTY etc.
Selecting Lean Six Sigma Projects.
Building a Business Case & Project Charter.
Financial Evaluation & Benefits Capture.
The Lean Enterprise.
Understanding Lean.
Lean & Six Sigma.
The Seven Elements of Waste: a. Overproduction, Correction, Inventory, Motion, Over processing, 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-Vary Analysis.
Classes of Distributions.
Inferential Statistics.
Sampling Techniques & Uses.
Central Limit Theorem.
Hypothesis Testing.
General Concepts & Goals of Hypothesis Testing.
Significance: Practical vs Statistical.
Risk: Alpha & Beta.
Hypothesis Testing with Normal Data.
1 & 2 sample t-tests.
Mann-Whitney.
Kruskal-Wallis.
Mood’s Median.
Friedman.
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.
Confidence & Prediction Intervals.
Residuals Analysis.
Data Transformation, Box Cox.
Designed Experiments.
Experiment Objectives.
Experimental Methods.
Experiment Design Considerations.
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.
X bar-R Chart.
U Chart.
P Chart.
NP Chart.
X-S chart.
Cum Sum 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

Anyone who has a Lean Sigma Green Belt and wants to expand their expertise become Lean Sigma Black Belt.
Section managers.
Principal / senior engineers.
Senior officers
Project Leaders.
Change Managers.
Finance Managers.
IT Managers.
HR Managers.
Quality technicians