Lean Six Sigma Green Belt

Lean and Six Sigma methodology is a combination of statistical theory, quality control knowledge and business tools that helps individual to enhance the business procedures. The methodology helps you in removing defects and improving profits, and enhancing performance while reducing process inconsistency. With our Lean Six Sigma Green Belt training, professionals develop understanding on core to advanced fundamentals of Lean and Six Sigma methodology required to lead projects that require improvements. MSys Lean Six Sigma Greenbelt Training course is designed by expert Lean Six Sigma professionals to ensure participants gain a complete understanding on all elements of the Lean and Six Sigma principles, including define, analyze, measure, control and improve as described by the Lean Six Sigma Body of Knowledge for Green Belt. Our Lean Six Sigma certification help professionals to understand how to design, execute, interpret and control Lean Six Sigma with high proficiency.

On completion of Lean Six Sigma Green Belt (LSSGB) certification training, you will:

• Able to implement and control Lean and Six Sigma projects in organization
• Have ability to identify an improvement scope in the Define phase
• Able to perform hypothesis testing and data analysis in the Analyze phase
• Able to measure product and process
• Able to recognize the possible improvement actions to improve the performance
• Ability to operate inputs and outputs
• Utilization of DFSS tools such as Failure Mode and Effects Analysis (FMEA), Quality Function Deployment (QFD), and Risk Priority Number (RPN)

LSSGB Certification is Suitable for: The Lean Six Sigma Green Belt certification is most suitable for Quality Analysts and Managers, Quality Engineers, Quality System Managers, Quality Auditors, Quality Supervisors and Professionals seeking to learn and practice Lean Six Sigma Principles.

Agenda:

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

• 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