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CERTIFIED SIX SIGMA GREEN BELT TRAINING COURSE DESCRIPTION IN COLUMBUS, OH

This course is designed to get participants prepared for Six Sigma Green Belt Exam conducted by ASQ. Participants will get intensive classroom training aligned to the ASQ CSSGB Body of Knowledge. This will enable participants to prepare for both the ASQ CSSGB certification.

CERTIFIED SIX SIGMA GREEN BELT TRAINING COURSE AGENDA IN COLUMBUS, OH

On completion of the Six Sigma Green Belt training program, participants will be:

Be well placed to clear the Six Sigma Green Belt ASQ exam in the first attempt
Demonstrate a solid knowledge on six sigma methodologies
Contribute better to his/her responsibilities in an organization

CERTIFIED SIX SIGMA GREEN BELT TRAINING COURSE PREREQUISITES IN COLUMBUS, OH

IASSC has no eligibility requirements. Six Sigma course is ideal for Quality Professionals seeking to improve their Six Sigma knowledge with Lean Techniques and gain a Six Sigma Certification. This course is also suitable for individuals seeking to make a career in the Quality field managing Six Sigma

Our Learners Are

CERTIFIED SIX SIGMA GREEN BELT TRAINING COURSE WHO SHOULD ATTEND IN COLUMBUS, OH

Here are some of the professionals who attend the six sigma training:

Quality Managers
Quality Assurance Engineers
QA Tester
Quality Analyst
Production engineer
Project Managers/ Team Leaders
Software Quality Assurance team members
Senior Management

CERTIFIED SIX SIGMA GREEN BELT TRAINING COURSE CURRICULUM IN COLUMBUS, OH

Section - Six Sigma Green Belt

Welcome
Six Sigma Green Belt
Agenda
What is SSBB
Accreditation Institute
Target Audience
SSBB Exam Format
Panelcs Courses LSSBB Course Offer
Thank You

Section 01 - Overview

Welcome
Overview
Agenda
Lesson 1 About LSSBB
Agenda
What is Six Sigma
Six Sigma Roles and Responsibilities
About SSBB
LSSBB Roles and Responsibilities
Summary
Lesson 2 Organizational Roadblocks
Agenda
Traditional Organization versus Customer Driven Organization
Types of Organizational Roadblocks
Types of Organizational Roadblocks(Contd.)
Types of Organizational Roadblocks(Contd.)
Types of Organizational Roadblocks(Contd.)
Types of Organizational Roadblocks(Contd.)
Types of Organizational Roadblocks(Contd.)
Types of Organizational Roadblocks(Contd.)
Change Resistance Curve
Change Resistance Curve(Contd.)
Change Resistance Curve(Contd.)
Common Resistance Points
Common Resistance Points(Contd.)
Overcoming Resistance Points
Force Field Analysis
Force Field Analysis(Contd.)
Force Field Analysis(Contd.)
Force Field Analysis(Contd.)
Summary
Lesson 3 Role of Communication and Selection Criteria in Green Belt
Agenda
Green Belt Role Summary
Green Belt Communication Expectations
Green Belt Selection Criteria
Summary
Lesson 4 Overview of Continuous Improvement
Agenda
Continual Improvement Process
Continuous versus Continual Improvement
Kaizen Continual Improvement
Kaizen Continual Improvement(Contd.)
Summary
Lesson 5 Lean An Overview
Agenda
What is Lean
History of Lean
Principles of Lean
Key Benefits of Implementing Lean
Key Benefits of Implementing Lean(Contd.)
Why Lean before Six Sigma
Summary
Lesson 6 Lean Concepts Explained
Agenda
Warusa Kagen
Warusa Kagen(Contd.)
3Ms
8 Types of Waste (TIMWOODS)
Mottainai
Hoshin Kanri
Hoshin Kanri(Contd.)
Hoshin Kanri(Contd.)
Takt Time
Takt Time(Contd.)
Cycle Time
Lead Time
Lead Time Assignment
Lead Time Assignment(Contd.)
Production Cycle Efficiency
Batch Size
Every Part Every Interval(EPEI)
EPEI(Contd.)
EPEI(Contd.)
EPEI Calculation Spreadsheet
Batch Size Assignment
Batch Size Assignment(Contd.)
Batch Size Assignment(Contd.)
Batch Size Assignment(Contd.)
Batch Size Assignment(Contd.)
Crew Size
Crew Size Assignment
Crew Size Assignment(Contd.)
Crew Size Assignment(Contd)
Standardized Working Progress(SWIP)
Summary
Lesson 7 Lean Tools Explained
Agenda
5S
5S(Contd.)
5S Audit Worksheet
SMED
SMED(Contd.)
Heijunka
Heijunka An Example
Genchi Genbutsu
Value Stream Mapping(VSM)
VSM Symbols
Value Stream Mapping(Contd.)
Value Stream Mapping(Contd.)
Summary
Thank You

Section 02 - DFSS, Pre-define and Define (DMAIC)

Welcome
Agenda
DFSS Pre Define and Define(DMAIC)
DFSS Design for Six Sigma and DMAIC versus DFSS
Agenda
Agenda(Contd.)
Design for Six Sigma(DFSS)
DFSS Approach to Problem Solving
DMAIC Approach to Problem Solving
DMAIC versus DFSS
DFSS Tools
Toll Gate Review
Benchmarking
MSA
VOC
Needs Vs Requirements
KJ Diagram
Quality Function Deployment(QFD)
Kano Model
Kano Model(Contd.)
Kano Model(Contd.)
HOQ
HOQ(Contd.)
HOQ(Contd.)
AHP
AHP(Contd.)
Pugh Matrix for Concept Selection
Pugh Matrix for Concept Selection(Contd.)
Sample Pugh Matrix
Monte Carlo Simulation
Design for X
Summary
Lesson 2 Pre Define Activities
Agenda
Prerequisites of a Six Sigma Project
Qualifications of a Six Sigma Project
Cornerstones of a Six Sigma Project
Six Sigma Deployment Cycle Plan
10 Point Ongoing Project Evaluation
Project Prioritization Matrix
Project Prioritization Matrix(Contd.)
Enterprise Wide versus LOB View
Enterprise Wide Roles and Responsibilities
NPV(Net Present Value)
Internal Rate of Return(IRR)
NPV and IRR An Example
NPV and IRR An Example(Contd.)
Summary
Lesson 3 Define
Agenda
Define Key Objectives
Voice of Customer
Voice of Business
Voice of Process
VOC VOB and VOP
Kano Model
Assignment
Translation to Project Y
Quality Function Deployment
Quality Function Deployment(Contd.)
Quality Function Deployment An Example
Process Map
Y Baseline Performance
Y Baseline Performance(Contd.)
SIPOC
Project Charter
The Problem Statement and the Goal Statement
RACI Matrix
Business Metrics
Business Metrics(Contd.)
Project Deliverables
Project Scheduling
Team Selection
Define Roles and Responsibilities
Define Tools Summary
Lesson 3 Summary
Thank You

Section 03 - Measure

Measure
Introduction to MEASURE
Agenda
Pre Measure Considerations and Tools
Agenda
Define Phase Toll Gate Review
DFMEA
DFMEA(Contd.)
DFMEA(Contd.)
DFMEA(Contd.)
DFMEA(Contd.)
Cause and Effect Matrix(CE Matrix)
Cause and Effect Matrix(Contd.)
Cause and Effect Matrix(CE Matrix)(Contd.)
Cause and Effect Matrix(CE Matrix)(Contd.)
Cause and Effect Matrix(CE Matrix)(Contd.)
Cause and Effect Matrix(Contd.)
Summary
Types of Data and Measurement Scales
Agenda
Objectives of Measure Phase
What is a Process
Flowcharts
SIPOC
SIPOC(Contd.)
SIPOC(Contd.)
Metrics
Measurement Scales
Measurement Scales(Contd.)
Measurement Scales(Contd.)
Types of Data
Types of Data(Contd.)
Summary
Central Tendency and Dispersion
Agenda
Central Tendency and Dispersion Introduction
Mean
Mean(Contd.)
Median
Mode
Range
Variance
Standard Deviation
Mean Deviation
Summary
Measurement System Analysis
Agenda
Purpose of Measurement System Analysis
Measurement System Errors
Measurement System Errors(Contd.)
Measurement System Errors(Contd.)
Properties of Good Measurement Systems
Measurement System Errors Illustrated
Measurement System Discrimination
Bias
Bias(Contd.)
Measurement System Analysis Process Flow
Part Variation
Measurement System Analysis Formulas
Measurement Systems Analysis Example
Measurement Systems Analysis Example(Contd.)
Measurement Systems Analysis Graphs
Measurement Systems Analysis Graphs(Contd.)
Measurement Systems Analysis Graphs(Contd.)
Assignment
Attribute RR
Attribute RR(Contd.)
Attribute RR(Contd.)
Attribute RR(Contd.)
Attribute RR(Contd.)
Attribute RR(Contd.)
Attribute RR(Contd.)
Attribute RR(Contd.)
Attribute RR(Contd.)
Attribute RR(Contd.)
When to Do Measurement System Analysis
Data Collection Plan
Data Collection Plan Template and Example
Summary
Stability Conditions
Agenda
Controlled Process and Variation
Special Causes of Variation
Common Causes of Variation
Common Causes of Variation(Contd.)
Stability Introduction and SPC
Stability Check with Minitab
Stability Check with Minitab(Contd.)
Stability Check with Minitab(Contd.)
Stability Check with Minitab(Contd.)
Stability Check using Run Charts
Stability Conditions
Central Limit Theorem
Summary
Capability Metrics
Agenda
Process Capability Pre Considerations
Process Capability Pre Considerations(Contd.)
Process Capability Pre Considerations(Contd.)
Process Capability Pre Considerations(Contd.)
Process Capability Pre Considerations(Contd.)
Process Capability Pre Considerations(Contd.)
Process Capability Pre Considerations(Contd.)
Process Capability Pre Considerations(Contd.)
Process Capability Pre Considerations(Contd.)
Process Capability Indices for Continuous Data
Process Capability Indices for Continuous Data(Contd.)
Process Capability Indices for Continuous Data(Contd.)
Process Capability Indices Interpretation
Process Capability for Discrete Data
Process Capability for Discrete Data(Contd.)
Process Capability for Discrete Data(Contd.)
Non Normal Capability Analysis
Non Normal Capability Analysis(Contd.)
Non Normal Capability Analysis(Contd.)
Non Normal Capability Analysis(Contd.)
Non Normal Capability Analysis(Contd.)
Non Normal Capability Analysis(Contd.)
Assignment
Summary
Variations Variability Capability and Process Conditions
Agenda
Variations and Variability
Variations and Variability(Contd.)
Variations and Variability(Contd.)
Capability and Process Conditions
Summary
Data Distributions
Agenda
Permutations and Combinations
Permutations and Combinations(Contd.)
Frequency and Cumulative Distributions
Binomial Distribution
Binomial Distribution(Contd.)
Binomial Distribution(Contd.)
Binomial Distribution(Contd.)
Poisson Distribution
Poisson Distribution(Contd.)
Poisson Distribution(Contd.)
Normal Distribution
Normal Distribution(Contd.)
Exponential Distribution
Exponential Distribution
Summary
Sigma Shift Mean Shift and Reducing Variations
Agenda
Sigma Shift
Mean Shift or Reducing Variations
Mean Shift or Reducing Variations(Contd.)
Baseline Data
Summary
Measure Phase Summary
Measure Activity Summary
Measure Tools Summary

Section 04 - Analyze

elcome
nalyze
genda
esson 1 Pre Analyze Considerations
genda
nalyze Phase Introduction
re Analyze Considerations
re Analyze Considerations(Contd.)
bjectives of Analyze
Visually Displaying Data
Summary
Lesson 2 Value Stream Analysis
Agenda
Value Waste and NVA Activities
What is a Value Stream
Value Stream Example
Value Stream Analysis Muda
Value Stream Analysis Muda(Contd.)
Value Stream Map
Value Stream Map(Contd.)
Spaghetti Charts
Spaghetti Chart As Is
Spaghetti Chart Should Be
Spaghetti Charts(Contd.)
Summary
Lesson 3 Sources of Variation
Sources of Variation
Sources of Variation(Contd.)
Cause and Effect Diagram
Cause and Effect Diagram(Contd.)
Cause and Effect Diagram(Contd.)
Cause and Effect Diagram(Contd.)
Affinity Diagram
Box Plot
Box Plot(Contd.)
Box Plot(Contd.)
Box Plot(Contd.)
Box Plot(Contd.)
Summary
Lesson 4 Regression
Agenda
Objectives of Regression Analysis
Concepts of Regression Analysis
Concepts of Regression Analysis(Contd.)
Simple Linear Regression
Simple Linear Regression(Contd.)
Simple Linear Regression(Contd.)
Simple Linear Regression(Contd.)
Simple Linear Regression(Contd.)
Simple Linear Regression(Contd.)
Multiple Linear Regression
Multiple Linear Regression(Contd.)
Multiple Linear Regression(Contd.)
Multiple Linear Regression(Contd.)
Multiple Linear Regression(Contd.)
Multiple Linear Regression(Contd.)
Multiple Linear Regression(Contd.)
Multiple Linear Regression(Contd.)
Multiple Linear Regression(Contd.)
Best Subsets Regression and Stepwise Regression
Summary
Lesson 5 Confidence Intervals
Agenda
Concepts of Confidence Intervals and Confidence Intervals Testing
Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)
Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)
Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)
Confidence Intervals for Difference between Two Means
Confidence Intervals Working
Confidence Intervals Working(Contd.)
Confidence Intervals Impactors
Chi Square Confidence Intervals for Variances
Chi-Square Confidence Intervals for Variances(Contd.)
Z Confidence Intervals for Proportions
Chi Square and Probability
T Distribution Confidence Intervals
Summary
Lesson 5 Parametric Hypothesis Testing
Agenda
Agenda(Contd.)
Hypothesis Testing Objective
Hypothesis Testing Concepts
Null and Alternate Hypothesis
Type 1 Error
Type II Error
Significance Level (?)
Significance Level (?) (Contd.)
Type II Error (Contd.)
? and Power
P Value, and Acceptance and Rejection Conditions
Sample Size Determination for Tests
1 Sample z Test
1 Sample z Test(Contd.)
1 Sample z Test(Contd.)
2 Sample z test
f Test of Equality of Variances
1 Sample t Test
1 Sample t Test(Contd.)
Sample t Test
2 Sample t Test
2 Sample t Test
Paired t Test
Paired t Test(Contd.)
Paired t Test Interpretation
Paired t Test(Contd.)
Paired t Test(Contd.)
ANOVA
One Way ANOVA
Two Way ANOVA with Replication
Two Way ANOVA with Replication(Contd.)
Two Way ANOVA with Replication(Contd.)
Summary
Lesson 7 Nonparametric Hypothesis Testing
Agenda
Nonparametric Testing Conditions
Mann Whitney Test
Mann Whitney Test(Contd.)
1 Sample Sign
Wilcoxon Sign Rank Test
Kruskal Wallis
Moodâs Median
Friedman ANOVA
Friedman ANOVA(Contd.)
Summary
Lesson 8 Analyze Additionals Categorical Data and Current Reality Tree
Agenda
Categorical Data Analysis
Categorical Data Analysis(Contd.)
Categorical Data Analysis(Contd.)
Categorical Data Analysis(Contd.)
Current Reality Tree
Current Reality Tree(Contd.)
Summary
Activity Summary Analyze
Tools Summary Analyze

Section 05 - Improve

Welcome
Section V Improve
Agenda
Section V Lesson 1
Agenda
Pre Improve Considerations
Model Adequacy Checking
Model Adequacy Checking(Contd.)
Model Adequacy Checking(Contd.)
Multi Vari Charts
7M Tools
Activity Network Diagram
Point and Interval Estimation
Porter s Five Forces
Porter s Five Forces (Contd.)
Pugh Analysis
Lean 5S
Summary
Section V Lesson 2 Design of Experiments Theory
Agenda
Introduction to DOE
Introduction to DOE(Contd.)
Introduction to DOE(Contd.)
Introduction to DOE(Contd.)
Introduction to DOE(Contd.)
Introduction to DOE(Contd.)
Types of Designed Experiments
Main and Interaction Effects
Main and Interaction Effects(Contd.)
Main and Interaction Effects(Contd.)
Main and Interaction Effects(Contd.)
Replication
Randomization
Blocking
Confounding
Coding and other DOE Terms
Sum of Squares Analysis
Sum of Squares Analysis(Contd.)
Sum of Squares Analysis(Contd.)
Sum of Squares Analysis(Contd.)
Sum of Squares Analysis(Contd.)
Sum of Squares Analysis(Contd.)
Sum of Squares Analysis(Contd.)
Summary
Section V Lesson 3 Design of Experiments Practice
Agenda
Introduction to 2 Factor Factorial Design
Introduction to 2 Factor Factorial Design(Contd.)
Introduction to 2 Factor Factorial Design(Contd.)
2Â² Design
2Â² Design(Contd.)
2Â² Design(Contd.)
2Â² Design(Contd.)
2Â² Design(Contd.)
2Â² Design(Contd.)
2Â² Design(Contd.)
2Â² Design(Contd.)
2Â² Design(Contd.)
2Â² Design(Contd.)
2Â² Design(Contd.)
2Â² Design(Contd.)
2Â² Design(Contd.)
2Â² Design(Contd.)
2Â² Design(Contd.)
2Â² Design(Contd.)
2Â² Design Summary
General 2k Design
General 2k Design(Contd.)
General 2k Design(Contd.)
General 2k Design(Contd.)
General 2k Design(Contd.)
General 2k Design(Contd.)
General 2k Design(Contd.)
General 2k Design(Contd.)
General 2k Design(Contd.)
General 2k Design(Contd.)
Single Replicate of 2k Design
Half Fractional 2k-1 Design
Half Fractional 2k-1 Design(Contd.)
Half Fractional 2k-1 Design(Contd.)
Half Fractional 2k-1 Design(Contd.)
Half Fractional 2k-1 Design(Contd.)
Half Fractional 2k-1 Design(Contd.)
Half Fractional 2k-1 Design(Contd.)
Quarter Fractional 2k-2 Design
Quarter Fractional 2k-2 Design(Contd.)
Quarter Fractional 2k-2 Design(Contd.)
Quarter Fractional 2k-2 Design(Contd.)
3k Factorial Design
3k Factorial Design (Contd.)
Response Surface Designs
Response Surface Designs(Contd.)
Response Surface Designs(Contd.)
Response Surface Designs(Contd.)
Response Surface Designs(Contd.)
Response Surface Designs(Contd.)
Response Surface Designs(Contd.)
Response Surface Designs(Contd.)
Response Surface Designs(Contd.)
Nested Designs
1 Split Plot Designs Introduction
Taguchi's Designs
Taguchi's Designs (Contd.)
Taguchi's L4 Design
Taguchi's L4 Design Graphs
Taguchi's L8 Design
Taguchi's L8 Design(Contd.)
Taguchi's L8 Design(Contd.)
Taguchi's L8 Design(Contd.)
Plackett Burman's Design
Plackett Burman's Designs(Contd.)
Quality Function Deployment(House of Quality)
Summary
Section V Lesson 4 Brainstorming Solutions Prioritization and Cost Benefit Analysis
Agenda
Brainstorming
Multi Voting
Brainstorming Prioritization and Cost Benefit Analysis
Brainstorming Prioritization and Cost Benefit Analysis(Contd.)
Brainstorming Prioritization and Cost Benefit Analysis(Contd.)
Brainstorming Prioritization and Cost Benefit Analysis(Contd.)
Brainstorming Prioritization and Cost Benefit Analysis(Contd.)
Brainstorming Prioritization and Cost Benefit Analysis(Contd.)
Brainstorming Prioritization and Cost Benefit Analysis(Contd.)
Poka Yoke
Summary
Section V Lesson 5 Piloting Validating and FMEA
Agenda
Pilot Solutions
Piloting Tools
Piloting Tools (Contd.)
Paired t Test
Paired t Test(Contd.)
Paired t Test Interpretations
Paired t Test(Contd.)
Paired t Test(Contd.)
Improve Next Steps
Failure Mode Effects Analysis
Failure Mode Effects Analysis(Contd.)
Failure Mode Effects Analysis(Contd.)
Failure Mode Effects Analysis(Contd.)
Failure Mode Effects Analysis(Contd.)
Summary
Improve Activity Summary

Section 06 - Control

Welcome
Section VI Control
Agenda
SectionVI Lesson 1 Pre Control Considerations
Agenda
Pre Control Considerations
Assessing the Results of Process Improvement
Rational Subgrouping
Summary
Section VI Lesson 2 Variables and Attributes Control Charts
Agenda
Concepts of Variables Control Charts
Concepts of Variables Control Charts(Contd.)
Concepts of Variables Control Charts (Contd.)
Concepts of Variables Control Charts (Contd.)
Concepts of Variables Control Charts (Contd.)
Variables Control Charts
Variables Control Charts(Contd.)
Variables Control Charts(Contd.)
Variables Control Charts (Contd.)
Variables Control Charts (Contd.)
Variables Control Charts(Contd.)
Variables Control Charts(Contd.)
Variables Control Charts(Contd.)
Variables Control Charts(Contd.)
Variables Control Charts(Contd.)
Variables Control Charts(Contd.)
Variables Control Charts(Contd.)
Variables Control Charts(Contd.)
Variables Control Charts(Contd.)
Variables Control Charts (Contd.)
EWMA Charts
EWMA Charts(Contd.)
Cusum Charts
Attribute Control Charts
Attribute Control Charts(Contd.)
Attribute Control Charts(Contd.)
Attribute Control Charts (Contd.)
Attribute Control Charts(Contd.)
Attribute Control Charts(Contd.)
Attribute Control Charts(Contd.)
Summary
VI Lesson 3 Measurement System Analysis Control Plan and Project Closure
Agenda
Measurement System Analysis
Control Plan
Control Plan(Contd.)
Control Plan(Contd.)
Control Plan(Contd.)
Project Closure
Summary
Section VI Lesson 4 Introduction to Total Productive Maintenance
Agenda
Total Productive Maintenance(TPM)
Total Productive Maintenance(TPM)(Contd.)
Total Productive Maintenance(TPM)(Contd.)
Total Productive Maintenance(TPM)(Contd.)
Total Productive Maintenance(TPM)(Contd.)
Total Productive Maintenance(TPM)(Contd.)
Total Productive Maintenance(TPM)(Contd.)
Summary
Tools to Refer

CERTIFIED SIX SIGMA GREEN BELT CERTIFICATION TRAINING FAQS IN COLUMBUS, OH

What is Six Sigma?

Six Sigma is the method of concepts, techniques and tools used for process optimization. It helps to make the process defect free with greater benefits.

What are the levels of Six Sigma?

What is the pre-requisite for Six Sigma Green Belt training?

There is no pre-requisite for Six Sigma Green Belt training. However, refer eligibility criteria for specific governing body examination. To take up our certification you need to have at least one year experience and basic knowledge on statistics will be helpful.

What is the exam pattern for Six Sigma Green Belt?

90 multiple choice questions
2 hour duration
No negative marking
Passing percentage: 65% and more for gaining Six Sigma Green Belt certificate.
Kindly refer Eligibility Tab for governing body specific.

Is knowledge on statistic mandatory for taking up Six Sigma Green Belting training?

No, Our SME's will guide you through the basics using MINITAB tool. However, having knowledge on statistic will be an added advantage.

Is project completion mandatory to get certified in Six Sigma Green Belt?

No, the certification is provided by evaluating the candidate through an examination.

What is Minitab?

Minitab is a statistical tool used for conducting exercises on Six Sigma.

What is the validity period for Six Sigma Green Belt certificate?

Six Sigma Green Belt certificate is life time valid, and time to time the syllabus keep getting updated so participants can look for new sessions after 3 to 5 years

What if I do not clear the examination at first attempt?

If the candidate do not clear the examination at first attempt, second attempt will be provided free of cost Panelcs Courses Certification.

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Great to learn PMP from an Expert like Tom. Great to learn PMP from an expert like Tom. Tom has a vast knowledge base which he leveraged to share his experiences and shared lots of examples. He was very patient to address all queries and tactfully handled the batch. Despite time constraints he handled the batch well. Great learning even during the Lockdown weekend.

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