eduact

Lean Six Sigma Green Belt Certification Training in USA, Columbus, OH

  • Overview
  • Curriculum
  • FAQ’s

Lean Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects (driving toward six standard deviations between the mean and the nearest specification limit) in any process – from manufacturing to transactional and from product to service.

What will you learn?

  • Describe how to identify an improvement project in the Define phase
  • Explain how to measure process and product in the Measure phase
  • Perform data analysis and hypothesis testing in the Analyze phase
  • Identify the possible improvement actions for the performance of variations in the Improve phase
  • Define efficient operating levels for inputs and outputs in the Control phase
  • Use DFSS Tools such as Quality Function Deployment (QFD), Failure Mode and Effects Analysis (FMEA), and Risk Priority Number (RPN)
  • Perform hypothesis testing with normal and non-normal data
  • Describe Design of Experiments (DOE)
  • Use Lean tools for process control
  • What are the career benefits in-store for you?
  • A Certified Lean Six Sigma Green Belt professional with practical exposure to the Lean Six Sigma tools will have an upward career graph.

Pre-requisites

There are no specific prerequisites for this course

Who can do LSSGB Certification Training?

  • Quality Analysts and Managers
  • Quality Engineers
  • Quality System Managers
  • Quality Auditors
  • Quality Supervisors
  • Director or VP of Operations
  • Business Managers/Consultants
  • Project manager/Program Manager
  • Any individual wishing to improve quality and process within an organization

Exam Format

This exam is conducted online. The candidate is expected to score a minimum of 60% to get the certificate. 100 multiple choice questions
120 minutes duration

DEFINE

Six Sigma: The Basics

  • The Many Meanings of Six Sigma
  • Problem Solving Strategy: Y=f(x)
  • History of Six Sigma & Continuous Improvement
  • Roles & Responsibilities
  • Project Team Selection

Six Sigma: The Fundamentals

  • Voice of the Customer (VOC)
  • Critical to Quality (CTQ)
  • Affinity Diagrams & Pareto Analysis (80:20)
  • Cost of Poor Quality (COPQ)
  • Six Sigma Projects: DMAIC
  • Basic Six Sigma Metrics

Project Management Basics

  • Business Case & Project Charter
  • Cost Benefit Analysis
  • Project Risk Management
  • Failure Modes & Effects Analysis (FMEA)

Lean

  • Understanding Lean
  • Lean: History
  • Lean vs. 7 Deadly Wastes
  • Lean & Six Sigma

MEASURE

Process Definition

  • Process Mapping, SIPOC, Value Stream Map
  • X-Y Matrix

Six Sigma Statistics

  • Basic Statistics
  • Descriptive Statistics
  • Descriptive Statistics: Location – Measures of Central Tendency
  • Descriptive Statistics: Spread – Measures of Dispersion

Distributions & Normality

  • Graphical Analysis
  • Measurement Systems Analysis
  • Precision & Accuracy
  • Accuracy: Bias, Linearity, & Stability
  • Variable MSA: Gage Repeatability & Reproducibility (GRR)
  • Stability

Process Capability

  • Capability Analysis
  • Attribute & Discrete Capability

ANALYZE

Patterns of Variation

  • Multi-Vari Analysis
  • Classes of Distributions

Inferential Statistics

  • Understanding Inference
  • Sampling Techniques & Uses

Hypothesis Testing

  • General Concepts & Goals of Hypothesis Testing
  • Significance: Practical vs. Statistical
  • Risk: Alpha & Beta
  • Hypothesis Testing: Types & Decisions
  • Reading Tables
  • Testing for Normality

Hypothesis Testing with Normal Data

  • Tests of Equal Variance
  • Z Tests
  • 1 Sample t-test
  • 2 Sample t-test
  • 1 Sample Variance: Chi-Square
  • One-Way ANOVA

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)

IMPROVE

Root Cause Analysis

  • Correlation & Linear regression
  • Correlation
  • Scatter Plot / X-Y Diagram
  • Regression Analysis
  • Residuals Analysis
  • Multiple Linear Regression
  • Data Transformation, Box Cox

Lean Tools & Practices

  • Lean: 5S, Visual Factory, & Standardized Work
  • Lean: Kaizen, Kanban, & Poka-Yoke

CONTROL

Statistical Process Control (SPC)

  • Data Collection for SPC
  • Control Chart Structure & Rules
  • I-MR Chart
  • Xbar-R Chart
  • Xbar-S Chart
  • NP Chart
  • P Chart
  • C Chart
  • U Chart
  • CumSum Chart
  • EWMA Chart

Six Sigma Control Plans

  • Control Plans

Lean Controls

eduact

Guy Hawkins

Project Manager

Nam vel lacus eu nisl bibendum accumsan vitae vitae nibh. Nam nec eros id magna hendrerit sagittis. Nullam sed mi non odio feugiat volutpat sit amet nec elit. Maecenas id hendrerit ipsum. Sed eget auctor metus, ac dapibus dolor.

Course Features

  • 36 Hours
  • LSSGB Exam
  • Industry based case studies
  • End-of-Chapter Quizzes
  • Class Recordings
  • 24/7 support
View Schedules

Next Cohort starts in 2 Days

eduact