IASSC Certified Lean Six Sigma Black Belt (ICBB) Syllabus

ICBB dumps PDF, IASSC ICBB Braindumps

To achieve the professional designation of IASSC Certified Lean Six Sigma Black Belt from the IASSC, candidates must clear the ICBB Exam with the minimum cut-off score. For those who wish to pass the IASSC ICBB certification exam with good percentage, please take a look at the following reference document detailing what should be included in IASSC Lean Six Sigma Black Belt Exam preparation.

The IASSC ICBB Exam Summary, Body of Knowledge (BOK), Sample Question Bank and Practice Exam provide the basis for the real IASSC Certified Lean Six Sigma Black Belt exam. We have designed these resources to help you get ready to take IASSC Certified Lean Six Sigma Black Belt (ICBB) exam. If you have made the decision to become a certified professional, we suggest you take authorized training and prepare with our online premium IASSC Lean Six Sigma Black Belt Practice Exam to achieve the best result.

IASSC ICBB Exam Summary:

Exam Name IASSC Certified Lean Six Sigma Black Belt
Exam Code ICBB
Exam Fee USD $395
Exam Duration 240 Minutes
Number of Questions 150
Passing Score 580/750
Format Multiple Choice
Schedule Exam Book Your Exam
Sample Questions IASSC ICBB Exam Sample Questions and Answers
Practice Exam IASSC Certified Lean Six Sigma Black Belt Practice Test

IASSC ICBB Body of Knowledge:

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
a. 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
a. Overproduction, Correction, Inventory, Motion, Overprocessing, Conveyance, Waiting.
- 5S
a. 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
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
- Mood’s Median
- Friedman
- 1 Sample Sign
- 1 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 - 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 Methods
- 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
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