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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

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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

  • Welcome
  • Six Sigma Green Belt
  • Agenda
  • What is SSBB
  • Accreditation Institute
  • Target Audience
  • SSBB Exam Format
  • AR Learners LSSBB Course Offer
  • Thank You
  • 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
  • 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
  • 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
  • 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
  • Moods 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
  • 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.)
  • 2? Design
  • 2? Design(Contd.)
  • 2? Design(Contd.)
  • 2? Design(Contd.)
  • 2? Design(Contd.)
  • 2? Design(Contd.)
  • 2? Design(Contd.)
  • 2? Design(Contd.)
  • 2? Design(Contd.)
  • 2? Design(Contd.)
  • 2? Design(Contd.)
  • 2? Design(Contd.)
  • 2? Design(Contd.)
  • 2? Design(Contd.)
  • 2? Design(Contd.)
  • 2? Design(Contd.)
  • 2? 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
  • 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

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.

  • Six Sigma Hierarchy
  • Champion
  • Master Black Belt
  • Black Belt
  • Green Belt
  • Yellow Belt
  • White Belt

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.

  • 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.

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

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

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

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

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

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Ivor kellock

Ivor kellock

It was a great experience for accomplishing ITIL Expert certification through AR Learners. Alway ready to help for any kind of queries. Although online training materials are good, but i would recommend these should be further improved from content perspective. Overall, I am fully satisfied with the services and would recommend everyone to join and experience the learning services through them.


Michael Smith

Michael Smith

As I am starting from PMP Course, I had a very good learning experience in AR Learners with the live classes, examples, platform, support and projects. It does help you get into the subject. Thanks.


Jasenka Marko

Jasenka Marko

Attended a 2-day weekend course by AR Learners for the Prince2 certification. The instructor was very knowledgeable and engaging. Overall it was an excellent experience and nice Guidence.


Laura Thomas

Laura Thomas

AR Learners is awesome. They have so many ways of learning. First, there are videos to prepare you for the class. Then there are live lectures, with quick quizzes to check your understanding. Finally, you have a final exam and a final project. When you get done with the class, you know your stuff, you are an expert in that field.


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