Description of Lean Six Sigma Black Belt LSSIAP Certification: Course lenght, Certification exam, Body of Certification, Curriculum.

The trainings followed by Lean Six Sigma Black Belt certification exam covers some of the same areas of knowledge as Green Belt trainings; however they require a superior level of skill and understanding. Black Belts are Lean Six Sigma team leaders responsible for implementing process improvement projects within the business in order to increase customer satisfaction levels and business productivity.

We offer a 5-day interactive training followed by certification exam, in order to familiarize participants with all the necessary tools for leading a cross functional process improvement project.

At the end of Lean Six Sigma Black Belt training and certification exam, the participants will be able to apply the principles of Lean Six Sigma to any business situation, provide training, direction, and analysis to all levels of the organization, and also advise on other opportunities for product and process improvement.
The Lean Six Sigma Black Belt training is ideal for anyone willing to take a step forward in their career as Lean Six Sigma tools are applicable to every industry including: healthcare, finance, manufacturing or any other type of industry.

Lean Six Sigma Black Belt certification benefits :

After participating in this program you will be able to:

  • Deeply understand the techniques required for project management
  • Identify and resolve business problems for process improvement
  • Develop organizational capacity of continuous improvement
  • Radical improve the entire cash flow (order to cash)
  • Get lower costs for the company

Course level and Certification :

Lean Six Sigma Black Belt – advanced

Lean Six Sigma Black Belt Course lenght:

5 days training + 4 hours international certification exam


150 Questions IASSC, 100 Questions LSSIAP

For both exams, in order to pass the exam you need to provide at least 70% correct answers.

Who can participate in the Lean Six Sigma Black Belt training followed by certification exam:

Specialists who will lead business process improvement projects, coach/mentor and process improvement team coordinators

1.0          Define Phase

1.1          The Basics of Six Sigma

1.1.1      Meanings of Six Sigma

1.1.2      General History of Six Sigma & Continuous Improvement

1.1.3      Deliverables of a Lean Six Sigma Project

1.1.4      The Problem Solving Strategy Y = f(x)

1.1.5      Voice of the Customer, Business and Employee

1.1.6      Six Sigma Roles & Responsibilities

1.2          The Fundamentals of Six Sigma

1.2.1      Defining a Process

1.2.2      Critical to Quality Characteristics (CTQ’s)

1.2.3      Cost of Poor Quality (COPQ)

1.2.4      Pareto Analysis (80:20 rule)

1.2.5      Basic Six Sigma Metrics, including DPU, DPMO, FTY, RTY Cycle Time, deriving these metrics and these metrics

1.3          Selecting Lean Six Sigma Projects

1.3.1      Building a Business Case & Project Charter

1.3.2      Developing Project Metrics

1.3.3      Financial Evaluation & Benefits Capture

1.4          The Lean Enterprise

1.4.1      Understanding Lean

1.4.2      The History of Lean

1.4.3      Lean & Six Sigma

1.4.4      The Seven Elements of Waste – Overproduction, Correction, Inventory, Motion, Overprocessing, Conveyance, Waiting.

1.4.5 5S -Sort,  Straighten, Shine, Standardize, Self-Discipline

2.0          Measure Phase

2.1          Process Definition

2.1.1      Cause & Effect / Fishbone Diagrams

2.1.2      Process Mapping, SIPOC, Value Stream Map

2.1.3      X-Y Diagram

2.1.4      Failure Modes & Effects Analysis (FMEA)

2.2          Six Sigma Statistics

2.2.1      Basic Statistics

2.2.2      Descriptive Statistics

2.2.3      Normal Distributions & Normality

2.2.4      Graphical Analysis

2.3          Measurement System Analysis

2.3.1      Precision & Accuracy

2.3.2      Bias, Linearity & Stability

2.3.3      Gage Repeatability & Reproducibility

2.3.4      Variable & Attribute MSA

2.4          Process Capability

2.4.1      Capability Analysis

2.4.2      Concept of Stability

2.4.3      Attribute & Discrete Capability

2.4.4      Monitoring Techniques

3.0          Analyze Phase

3.1          Patterns of Variation

3.1.1      Multi-Vari Analysis

3.1.2      Classes of Distributions

3.2          Inferential Statistics

3.2.1      Understanding Inference

3.2.2      Sampling Techniques & Uses

3.2.3      Central Limit Theorem

3.3          Hypothesis Testing

3.3.1      General Concepts & Goals of Hypothesis Testing

3.3.2      Significance; Practical vs. Statistical

3.3.3      Risk; Alpha & Beta

3.3.4      Types of Hypothesis Test

3.4          Hypothesis Testing with Normal Data

3.4.1      1 & 2 sample t-tests

3.4.2      1 sample variance

3.4.3      One Way ANOVA

  1. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.

3.5          Hypothesis Testing with Non-Normal Data

3.5.1      Mann-Whitney

3.5.2      Kruskal-Wallis

3.5.3      Mood’s Median

3.5.4      Friedman

3.5.5      1 Sample Sign

3.5.6      1 Sample Wilcoxon

3.5.7      One and Two Sample Proportion

3.5.8      Chi-Squared (Contingency Tables – Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.

4.0          Improve Phase

4.1          Simple Linear Regression

4.1.1      Correlation

4.1.2      Regression Equations

4.1.3      Residuals Analysis

4.2          Multiple Regression Analysis

4.2.1      Non- Linear Regression

4.2.2      Multiple Linear Regression

4.2.3      Confidence & Prediction Intervals

4.2.4      Residuals Analysis

4.2.5      Data Transformation, Box Cox

4.3          Designed Experiments

4.3.1      Experiment Objectives

4.3.2      Experimental Methods

4.3.3      Experiment Design Considerations

4.4          Full Factorial Experiments

4.4.1      2k Full Factorial Designs

4.4.2      Linear & Quadratic Mathematical Models

4.4.3      Balanced & Orthogonal Designs

4.4.4      Fit, Diagnose Model and Center Points

4.5          Fractional Factorial Experiments

4.5.1      Designs

4.5.2      Confounding Effects

4.5.3      Experimental Resolution

5.0          Control Phase

5.1          Lean Controls

5.1.1      Control Methods for 5S

5.1.2      Kanban

5.1.3      Poka-Yoke (Mistake Proofing)

5.2          Statistical Process Control (SPC)

5.2.1      Data Collection for SPC

5.2.2      I-MR Chart

5.2.3      Xbar-R Chart

5.2.4      U Chart

5.2.5      P Chart

5.2.6      NP Chart

5.2.7      X-S chart

5.2.8      CumSum Chart

5.2.9      EWMA Chart

5.2.10    Control Methods

5.2.11    Control Chart Anatomy

5.2.12    Subgroups, Impact of Variation, Frequency of Sampling

5.2.13    Center Line & Control Limit Calculations

5.3          Six Sigma Control Plans

5.3.1      Cost Benefit Analysis

5.3.2      Elements of the Control Plan

5.3.3      Elements of the Response Plan

Enroll here for a Lean Six Sigma Black Belt Training and Certification session

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