Lean Six Sigma Green Belt “300 USD – 200 USD Exam”

Category:
LEAN SIX SIGMA GREEN BELT CERTIFICATE :
Course Overview
Discover with Six Sigma Certification Consultant (SSCC) what world-class organizations such as General Electric, Motorola and Xerox already know. Six Sigma can improve your bottom line. By attending this program, you will return to your organization with a deep understanding of the Six Sigma approach, proven tools for implementing the Define/Measure/Analyze/Improve/Control (DMAIC) methodology to a project and a Green Belt Certification.
Who Should Attend?
Those interested in the Six Sigma & perfromance improvement.
Course Objectives:
• Gain an understanding of Six Sigma principles.
• Explore the DMAIC methodology in theory and practice.
• Acquire knowledge of lean tools for Six Sigma.
Course contents:
Define Phase
The Basics of Six Sigma
General History of Six Sigma
Deliverables of a Lean Six Sigma Project
The Problem Solving Strategy Y = f(x)
VOC,VOP,VOE
Six Sigma Roles & Responsibilities
The Fundamentals of Six Sigma Defining a Process
(CTQ’s)
Cost of Poor Quality (COPQ)
Pareto Analysis (80:20 rule)
Basic Six Sigma Metrics
DPU, DPMO, FTY, RTY Cycle Time
Selecting Projects
Business Case & Project Charter
Financial Evaluation & Benefits Capture
The Lean Enterprise
Understanding Lean
The History of Lean
Lean & Six Sigma
The Seven Elements of Waste
5S
Measure Phase
Process Definition
Fishbone Diagrams
Process Mapping
X-Y Diagram
(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
Hypothesis Testing with Non-Normal Data
Mann-Whitney
Kruskal-Wallis
Mood’s Median
Friedman
Sample Sign
Sample Wilcoxon
Improve Phase
Correlation
Regression Analysis
Residuals Analysis
Control Phase
Lean Controls
Control Methods for 5S
Poka-Yoke (Mistake Proofing)
Statistical Process Control (SPC)
Data Collection for SPC
Six Sigma Control Plans
Cost Benefit Analysis

Warning: PHP Startup: uploadprogress: Unable to initialize module Module compiled with module API=20190902 PHP compiled with module API=20210902 These options need to match in Unknown on line 0