Lean Six Sigma Green Belt Certification
4.6 /5- Offered byAnexas, Bangalore
Lean Six Sigma Green Belt Certification at Anexas, Bangalore Overview
Duration | 30 hours |
Total fee | ₹24,210 |
Mode of learning | Online |
Credential | Certificate |
Lean Six Sigma Green Belt Certification at Anexas, Bangalore Highlights
- Complete 2 Live real-time projects during the training. Data will be provided by Anexas
- 2 Free live project recordings
- 2 hours of Free live project guidance every week from industry experts
- Lifetime access to course materials and Free eBooks
- Lifetime access to online live classes at no extra cost
- Course Content is Aligned to IASSC, ASQ and most of the recognized syllabi
- 50 worked out projects from various industries
- Open book online tests
- Free 60 PDUs certificate from PMI for attending the course
- Mock interview sessions once a week
- One-on-one live sessions for missed classes
- Simulation exams to prepare for IASSC, ASQ and all recognized exams
- Lifetime membership to Anexas Alumni group with placement assistance
- More than 10 complementary online courses
- Get a chance to win cashback benefits
- Online 24*7 Customer support
Lean Six Sigma Green Belt Certification at Anexas, Bangalore Course details
- Anexas Lean Six Sigma Green Belt Course trains in the techniques of reducing time and disciplined approaches of improving the quality of products and services. This is just the tip of the iceberg. To reach the depth of Lean Six Sigma, attend our Lean Six Sigma Green Belt training and see for yourself how the processes can be improved
- Lean Six Sigma is one of the most famous methods used by companies to reduce waste, improve efficiency, increase customer satisfaction, and increase profits. Managers, Directors, Project Leaders, Project Members, and even Freshers are advised to take this course to establish a better work environment
Lean Six Sigma Green Belt Certification at Anexas, Bangalore Curriculum
Module 1: Introduction
Introduction to class
Introduction to Anexas
Module 2: Course Overview
Course purpose & objectives
What is Six Sigma
History of Six Sigma
Module 3: Why Six Sigma
Estimating process sigma
Understanding Variation
Module 4: DMAIC
Overview of DMAIC
Overview of DMADV
Case study
DMAIC storyboard template
Module 5: Start Your Project
Project Selection Criteria
Team charter
Project Charter
Elements of Project Charter
Module 6: Process Basics
Quality, systems, and processes
Work as a process
Module 7 : Understanding the Voice of the Customer
What is VOC and importance
Defining the customers
VOC data collection plan
Reactive/proactive data collection systems
Analyzing customer data ? affinity diagram
Module 8: Understanding VOC
Kano model
Defining CTQs
Setting specifications for CTQs
VOC data collection plan
Module 9: Process
Understanding Processes
SIPOC
Examples on SIPOC
Module 10: Define
Define
Module 11: Measure
Basic statistics and introduction to Minitab
Normal distribution
Mean and standard deviation
P-values
Module 12: Data Collection
How data can help
Data characteristics
Five-step data collection process
Step 1: Clarify Data Collection Goals
Stratifying data
Types of data
Step 2: Develop Operational Definitions and Procedures
Operational definitions
Sampling approaches
Determining sample size
Population versus process samplingChecksheets
Step 3: Validate the Measurement System
Problems with measurement
Desired measurement characteristics for continuous variables
Gage R&R study
Gage linearity study
Checking a measurement system for discrete data
Module 13: Data Analysis
Time-ordered data
Understanding variation
Variation versus specifications
Taguchi Loss Function
Types of variation, appropriate responses
Special cause, common cause
Plots of variation
Control charts
Specifications and control limits
Module 14: Analyze
Develop a focused problem statement
Identify potential causes
Brainstorming, Five Whys
Understand relationships between potential causes
Might-cause check
Cause-and-effect diagram
Tree diagram
Prioritizing Input Variables
Module 15: Verifying Causes
Verifying cause-and-effect data
Histograms
Scatter plots
Pareto Charts
Box Plots
Module 16: Review and practice Process Analysis
Process maps
Identifying Value-Added path
VA/NVA analysis
Identifying flow issues
Module 17: Process Analysis
8 wastes
Cycle time
Bottlenecks
Value Stream Mapping (VSM)
Module 18: Improve
Involving people
Lean solutions
Generating solution alternatives
Evaluating solutions
Prioritization matrix, Pugh matrix
Task and timeline planning
Budget and resource planning
Planning for change
Planning to check
Potential problem analysis
Piloting
Implementing the plans
Module 19: Evaluating results
Quantifying results
Evaluation and reactions
Module 20: Control
Link improvement to management system
Methods for monitoring and control
Ongoing data collection, process control
Variation and individuals charts
Control charts for high-volume processes with subgroups: x bar and r charts
Control charts for discrete data: p, np, c, and u charts
Module 21: Communication and Future Plans
Project closure
Closure checklist
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