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™.

Course Features

  • IASSC Certified
  • 12 Days Program
  • 4 hours exam – 150 MCQ & True/False Questions
  • 80% to Pass Exam

Course Schedule

june, 2019

15junAll DayLean Six Sigma Black Belt

22junAll DayLean Six Sigma Black Belt

23junAll DayLean Six Sigma Black Belt

Course Outline

Define Phase

  • The Basics of Six Sigma

 o Meanings of Six Sigma

 o General History of Six Sigma & Continuous Improvement

 o Deliverables of a Lean Six Sigma Project

 o The Problem Solving Strategy Y = f(x)

 o Voice of the Customer, Business and Employee

 o Six Sigma Roles & Responsibilities

  • The Fundamentals of Six Sigma

 o Defining a Process

 o Critical to Quality Characteristics (CTQ’s)

 o Cost of Poor Quality (COPQ)

 o Pareto Analysis (80:20 rule)

 o Basic Six Sigma Metrics

  • Selecting Lean Six Sigma Projects

 o Building a Business Case & Project Charter

 o Developing Project Metrics

 o Financial Evaluation & Benefits Capture

  • Strategies of Implementing Lean and Six Sigma in an

organization

 o Difference and Similarities between Lean and Six Sigma

 o An example of implementing Six Sigma for the whole

enterprise.

 o Other Models of Implementing Six Sigma

  • Lean and Six Sigma Implementation Case Study
  • Project Charter Case Study

Measure Phase

  • Process Definition

 o Cause & Effect / Fishbone Diagrams

 o Process Mapping, SIPOC, Value Stream Map

 o X-Y Diagram

 o Failure Modes & Effects Analysis (FMEA)

  • Introduction to Minitab
  • Six Sigma Statistics

 o Basic Statistics

 o Descriptive Statistics

 o Normal Distributions & Normality

 o Graphical Analysis

  • Measurement System Analysis

 o Precision & Accuracy

 o Bias, Linearity & Stability

 o Gage Repeatability & Reproducibility

 o Variable & Attribute MSA

  • Process Capability

 o Capability Analysis

 o Concept of Stability

 o Attribute & Discrete Capability

 o Monitoring Techniques

  • Measurement System Analysis Case Study
  • Micro Process Map Case Study

Analyze Phase

  • Patterns of Variation

 o Multi-Vari Analysis

 o Classes of Distributions

  • Inferential Statistics

 o Understanding Inference

 o Sampling Techniques & Uses

 o Central Limit Theorem

  • Hypothesis Testing

 o General Concepts & Goals of Hypothesis Testing

 o Significance; Practical vs. Statistical

 o Risk; Alpha & Beta

 o Types of Hypothesis Test

  • Hypothesis Testing with Normal Data

 o 1 & 2 sample t-tests

 o 1 sample variance

 o One Way ANOVA

 o Tests of Equal Variance, Normality Testing and Sample

Size calculation performing tests and interpreting results.

  • Hypothesis Testing with Non-Normal Data

 o Mood’s Median

 o Mann-Whitney

 o Kruskal-Wallis

 o Friedman

 o 1 Sample Sign

 o 1 Sample Wilcoxon

 o One and Two Sample Proportion

 o Chi-Squared (Contingency Tables)

Improve Phase

  • Simple Linear Regression

o Correlation

o Regression Equations

o Residuals Analysis

  • Multiple Regression Analysis

o Non- Linear Regression

o Multiple Linear Regression

o Confidence & Prediction Intervals

o Residuals Analysis

  • Designed Experiments

o Experiment Objectives

o Experimental Methods

o Experiment Design Considerations

  • Full Factorial Experiments

o 2k Full Factorial Designs

o Linear & Quadratic Mathematical Models

o Balanced & Orthogonal Designs

o Fit, Diagnose Model and Center Points

  • Fractional Factorial Experiments

o Designs

o Confounding Effects

o Experimental Resolution

Control Phase

  • Lean Enterprise

o Understanding Lean

o The History of Lean

o Lean and Six Sigma

o The Seven Elements of Waste

o 5S

o Poka-Yoke (Mistake Proofing)

  • Statistical Process Control (SPC)

o Data Collection for SPC

o I-MR Chart

o Xbar-R Chart

o U Chart

o P Chart

o NP Chart

o X-S chart

o CumSum Chart

o Control Methods

o Control Chart Anatomy

o Subgroups, Impact of Variation, Frequency of Sampling

o Center Line & Control Limit Calculations

  • Six Sigma Control Plans

o Cost Benefit Analysis

o Elements of the Control Plan

o Elements of the Response Plan

FAQ

  • Learn the basic definitions and terminologies of Lean Six Sigma System.
  • Able to visualize how Lean Six Sigma is deployed within an organization and understand why it’s a proven methodology that helps to save cost while improving quality and sustaining the success.
  • Learn the five phases of a Lean Six Sigma initiative: Define Phase, Measure Phase, Analyze Phase, Improve Phase and the Control Phase.
  • Exposed to a case study of a real Lean Six Sigma project to assist in visualizing the Define, Measure, Analyze, Improve and Control phases of a project.
  • Learn how to use Minitab (version 17), a statistical software widely used around the world to analyze data.
  • Experience handling a few projects/case study by collecting data to gather real experience in using some statistical tools.
  • Learn a variety of statistical tools and understand how to use them at the different phases of a Lean Six Sigma project.
  • Able to differentiate between Lean and Six Sigma and show why Lean and Six Sigma methodologies are dependent on one another and a proven strategic system for managing the whole supply chain of a business.
  • Learn the importance of Change Management in relations to Six Sigma Quality Management.
  • Exposed to the idea of how Six Sigma can be implemented within an organization.
  • To identify process owners, internal and external customers, and other stakeholders in a project.
  • Managers
  • Project Leaders
  • Senior Engineers
  • Green Belt Candidates and anyone who desires an understanding of Lean Six Sigma principles and skills.
  • No previous Six Sigma and Lean experience is required.

No. However, in the absence of conducting a project, participants will be the assigned hands-on case study. This case studies will enable the participants to collect data and apply the statistical tools to gain an experience similar to conducting a project. Although these case studies cannot substitute the knowledge gained by doing an actual project, the simulation experienced through these case studies will play a role close enough to conducting an actual project. The following Case Studies will be assigned:

  1. Preparation of a Project Charter Case Study
  2. Developing a Micro Process Map Case Study
  3. Measurement System Analysis Case Study.

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