DESCRIPTION AND OVERVIEW
It is a methodology that relies on a collaborative team effort to improve performance by systematically removing waste and reducing variations. It combines lean manufacturing/lean enterprise and Six Sigma to eliminate the eight kinds of waste (muda) DOWNTIME
- Defects
- Over-Processing
- Waiting
- Non Utilization of employees Potentials
- Transporting
- Inventory
- Motion
- Extra processing
Professionals who have been trained on the Lean Six Sigma improvement methodology, and who lead or support improvement initiatives within the organization. They work on a data-driven approach to eliminate defects and improve processes in the organization. The Lean Six Sigma Green Belt Certificate Program focuses on creating a mindset and culture shift that eliminates wastage of time and resources, and replaces the methods used in traditional contexts with a set of tools that produce near-perfect results.
These certified professionals work to support, or under the supervision of a Six Sigma Black Belt. The Six Sigma Green Belt certification will give you the credibility to bring about changes that will help your organization realize its vision and help you realize your potential. As a Six Sigma professional, you will
- Work on continual quality improvement by analyzing and solving quality problems, and strive to create a high performance organization.
- Companies have a high demand for those with a Six Sigma certification training. This training is highly valued and is looked upon as a value addition to the organization. The professional first starts working under a Six Sigma Black Belt who is skilled to make major changes in the processes of the organization.
- course delivered by certified instructors
- End-to-end exam prep support and assistance
- Comprehensive courseware
- Improve quality by analyzing and solving quality issues
- Define Phase
The Basics of Six Sigma
- Meanings of Six Sigma
- General History of Six Sigma & Continuous Improvement
- Deliverables of a Lean Six Sigma Project
- The Problem Solving Strategy Y = f(x) 1.1.5 Voice of the Customer, Business and Employee
- Six Sigma Roles & Responsibilities
The Fundamentals of Six Sigma
- Defining a Process
- Critical to Quality Characteristics (CTQ’s)
- Cost of Poor Quality (COPQ)
- Pareto Analysis (80:20 rule)
- Basic Six Sigma Metrics: including DPU, DPMO, FTY, RTY Cycle Time, deriving these metrics and these metrics
Selecting Lean Six Sigma Projects
- Building a Business Case & Project Charter
- Developing Project Metrics
- Financial Evaluation & Benefits Capture
The Lean Enterprise
- Understanding Lean
- The History of Lean
- Lean & Six Sigma
- The Seven Elements of Waste: a. Overproduction, Correction, Inventory, Motion, Over processing, Conveyance, Waiting
- Straighten, Shine, Standardize, Self-Discipline, Sort
2. Measure Phase
Process Definition
- Cause & Effect / Fishbone Diagrams
- Process Mapping, SIPOC, Value Stream Map
- X-Y Diagram
- Failure Modes & Effects Analysis (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
- Patterns of Variation
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: a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.
Hypothesis Testing with Non-Normal Data
- Mann-Whitney
- Kruskal-Wallis
- Mood’s Median
- Friedman
- Sample Sign
- Sample Wilcoxon
- One and Two Sample Proportion
- Chi-Squared (Contingency Tables): a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results
- Improve Phase
Simple Linear Regression
- Correlation
- Regression Equations
- Residuals Analysis
Multiple Regression Analysis
- Non- Linear Regression
- Multiple Linear Regression
- Confidence & Prediction Intervals
- Residuals Analysis
- Data Transformation, Box Cox
- Control Phase
Lean Controls
- Control Methods for 5S
- Kanban
- Poka-Yoke (Mistake Proofing)
Statistical Process Control (SPC)
- Data Collection for SPC
- I-MR Chart
- Xbar-R Chart
- U Chart
- P Chart
- NP Chart
- X-S chart
- CumSum Chart
- EWMA Chart
- Control Chart Anatomy
Six Sigma Control Plans
- Cost Benefit Analysis
- Elements of the Control Plan
- Elements of the Response Plan
- Learn the principles and philosophy behind the Lean Six Sigma method
- Learn to apply statistical methods to improve business processes
- Design and implement Six Sigma projects
- Learn the DMAIC process
- Work on root cause analysis and basic statistical analyses on process measurements
- Learn to identify and control wasteful processes
- Learn to evaluate daily activities, to reduce cycle times, and improve quality
- Evaluate problems, statistically and quantitatively
- Increase profitability using Lean Six Sigma methodology
- Prepare for Lean Six Sigma Belt certification exam
The Six Sigma program is designed for professionals and students who want to develop the ability to lead process-improvement initiatives. An indicative list of participants in could include:
- Financial/business analyst
- Commodity manager
- Project manager
- Quality manager
- Business development manager
- Manufacturing process engineer
- Continuous improvement director
- Business managers or consultants
- Project manager/Program Manager
- Director or VP of Operations
- CEO, CFO, CTO