 Course Study Guidelines (English) 

  Intro to Quality HUB India 1:00 

  Welcome and Study Instruction (English) 3:00 

 Introduction to Six Sigma 

  (P1)LSSGB Introduction  DMAIC Steps 5:00 

  (P2) GB Intro What is Six Sigma 15:00 

  (P3) GB Intro  Why 99% is not Good enough? 12:00 

  (P4) GB6 Sigma Synergy 11:00 

  (P5) GBCOPQ (Cost of Poor Quality) and 6 Sigma relation 5:00 

  (P6) Six Sigma Benefits 6:00 

  (P7) DMAIC Process 7:00 

  (P8) GBDMAIC Cycle 2:00 

  DPU, PPM, DPMO with case study 9:00 

  DMAIC VS DMADV VS DFSS (Understand the difference) 11:00 

 Define Phase 

  Define(P1)Introduction of Lean Six Sigma Green Belt (LSSGB) 4:00 

  P2DefineWhat is scoping and Why project scoping 5:00 

  (P3) DefineScoping Technique  Longitudinal Scoping and Lateral Scoping 7:00 

  GB Define  Project Teams, Teaming Roles and Why Teaming? 17:00 

  (P5) GB Define Project Benefit & LossOpportunity Grid 10:00 

 Project Charter 

  Project Charter Case Study(P1) 23:00 

  Charter case Study(P2) 27:00 

 Measure Phase 

  (P1.1) GB Measure Introduction, Why do we need a Process Map? 7:00 

  (P1.2) GB Measure (step 2.1) Map the as is Process  What is Process? and SIPOC 9:00 

  (P2)GB Measure (Step 22.2) Define a Unit What is a Unit? and define with examples 11:00 

  (P3.1) GB MeasureWhat is Specification 3:00 

  (P3.2) GB MeasureTypes of Data (step 22.4) Understand the data characteristics Types of Data and Continuous data characteristics 5:00 

  (P3.3) GB MeasureDispersion and Central Tendency Measuring the of location , Spread and Shape 7:00 

  (P4.1) GB Measure Opportunities for Error (OFE) 4:00 

  (P4.2) GB Measure (Step 22.6) Design Sampling Plan for Establishing Process Baseline, Population and Sample 7:00 

  (P4.3) GB MeasureTypes of Sampling Random Sampling and How big a sample? 7:00 

  (P5.1) GB Measure (Step 33.1) Validate Measurement System for 'Y'  Introduction of Measure, Perform GRR Study and types of measurement errors 6:00 

  (P5.2) GB MeasureAccuracy and Precision 2:00 

  (P5.3) GB Measure R and R Gage Reproducibility and Gage Repeatability 4:00 

  (P5.4) GB MeasureData Collection, Analyze Results  Continuous Data 3:00 

  (P5.5)GB MeasureToll Gate Criteria 2:00 

  Benchmarking Process 

  Benchmarking(P1)What is Benchmarking 

  Benchmarking(P4)Process and Steps 8:00 

 Basic Statistics 

  Introduction to Basic Statistics What is statistics? and Definition of Statistics (English) 3:00 

  Sample VS Population statistics(English) 3:00 

  Basic Statistics Why do we use Statistics?, What is Sample , Population and Sample 6:00 

  Types of dataVariable vs Attribute data and Variable process outputs 3:00 

 Analyze Phase 

  (P1) GB Analyse (Step 4) Establish Process Baseline  Six sigma metrics 12:00 

  (P2.1) GB Analyse(Step 55.1) Define Performance Goals, Perform Entitlement and Benchmarking Exercise 8:00 

  (P2.2) GB Analyse Concept of Z value 8:00 

  (P3.1) GB Analyse Process Entitlement 2:00 

  (P3.2) GB Analyse Process Capability Study and Limitations of Process Capability 10:00 

  (P4) GB Analyse Analyzing Continuous Data Histogram 3:00 

  (P5.1) GB Analyse Stratification, Using Minitab for Stratifying Data and 5 minutes exercise 9:00 

  (P5.2) GB Analyse Sigma Multiple Case Study 4:00 

  (P6.1) GB Analyse Benchmarking and Steps 7:00 

  (P6.2) GB Analyse t distribution Introduction and Using the tdistribution Table 5:00 

  (P6.3) GB Analyse Estimate Population Parameter from Sample Statistic, Point estimate and Interval estimates using tdistribution 12:00 

  (P7.1) GB AnalyseHypothesis Testing Null Hypothesis and Alternative Hypothesis 5:00 

  (P7.2) GB Analyse Type1 and 2 Error 2:00 

  (P7.3) GB Analyse Forming Hypothesis Twotailed and onetailed Tests of Hypothesis and Acceptance/Rejection criteria for hypothesis 7:00 

  (P8.1)GB AnalyseIdentify variation source, Generating and Priortizing X's 8:00 

  (P8.2) GB AnalyseBrainstorming and Multivoting 6:00 

  (P9.1) GB AnalyseProcess MApping 3:00 

  (P9.2)GB AnalyseExplain Fishbone with example 6:00 

  (P10.1) GB AnalysePrioritisation Tool, Pareto Diagram 6:00 

  (P10.2) GB AnalyseCorelation  Association between Variables and Correlation levels 7:00 

  (P10.3) GB AnalyseLinear Regression and (SLR) Simple Linear Regression 10:00 

  (P11.1) GB Analyse Multiple Linear Regression (MLR) 8:00 

  (P11.2) GB Analyse ANOVA 5:00 

  (P12)GB AnalysisFailure Mode and Effect Analysis (FMEA) Concept and Output, FMEA Table and Scales of 'SOD' 23:00 

 Basic Problem Solving Tools 

  Fishbone Diagram or CauseEffect Diagram  (ENGLISH) 10:00 

  Fishbone Diagram 'Case Study' (ENGLISH) 7:00 

  Pareto Chart or Pareto Diagram A Prioritization Tool  ENGLISH 11:00 

  Pareto Chart (Case Study)  (ENGLISH) 7:00 

  Flow Chart Method  English 11:00 

  Histogram Data Distribution Tool  (ENGLISH) 10:00 

  Check Sheet (with case study)(ENGLISH) 14:00 

  Scatter Plot or Scatter Diagram (ENGLISH) 7:00 

  Control Chart and its types (ENGLISH) 22:00 

 Support Problem Solving Tools 

  Box and Whisker Plot (English) 15:00 

  RACI Matrix Chart Introduction, Key Responsibility Roles (RACI Model), PARIS, PACSI,RASCI, DACI and CAIRO 14:00 

  What is Threat and Opportunity Matrix?, Why Opportunity and Threat Matrix and Case Study Recruitment Firm and Opportunity and Threat Matix Grid 7:00 

  Critical To Quality Tree (CTQ Tree) , Case Study Meal Performance and Customer Requirement 9:00 

  SPIOC Diagram  Introduction , How can SIPOC be used?, How SIPOC works and SIPOC Diagram Type 2 17:00 

  Types of Six Sigma Certifications and their Roles  Different Levels of sigma and Roles 10:00 

  How to Select Proper Graph for analysis (English) 11:00 

  Sampling and types of sampling (English) 14:00 

  Overview for MultiVari Chart(Minitab), Multivari Analysis and Case Study of Multi Vari Chart (English) 13:00 

 Analysis of Variance (ANOVA) 

  (P1.1) Intro to ANOVA (Analysis of Variance) English 6:00 

  (P1.2) ANOVAAdditivity and Total Variance Data Dimension and Total Variance Calculation (English) 11:00 

  (P2.1)ANOVA(One Way ANOVA Step 1 and 2) Components of Variation and Calculation of the sum of squares (English) 6:00 

  (P2.2)ANOVA (Degree of Freedom) English 3:00 

  (P2.3) ANOVA Calculation of Mean Square, Calculation of the F Ratio and Testing for significance (English) 4:00 

  (P2.4) ANOVA in Minitab 95% Confidence Intervals (English) 2:00 

  (P2.5) ANOVA Summary and Crossed VS Nested Design (English) 4:00 

  Minitab Exercise (ANOVA) 

  ANOVA (Minitab Case Study) Molding Process (English) 10:00 

 Regression Analysis 

  (P1.1) Intro to Regression and Scatter Plot (English) 12:00 

  (P1.2) RegressionCorrelation Analysis (English) 7:00 

  (P2.1) Regression Introduction to Linear Regression (English) 7:00 

  (P2.2) Scatter Diagram, Regression (Minitab Example) (English) 8:00 

  (P3.1) ANOVA for Linear Regression and Normality of Residuals (English) 10:00 

  (P3.2) Regression Interpolation and Extrapolation summary (English) 4:00 

  Minitab Exercise 

  Scatter, Correlation and Regression (Minitab Exercises) English 13:00 

 Hypothesis Test 

  (P1.1) Hypothesis Testing Objectives and Tools for validating the causes 13:00 

  (P1.2) Hypothesis test (Null, Alternative and Determine) Types of Comparison and Steps in Hypothesis Testing 12:00 

  (P2.1) Hypothesis TestingState level of Risk and P value 5:00 

  (P2.2) Hypothesis TestRisk Form 5:00 

  (P2.3)Hypothesis TestEstablish Sample Size, Collect data, Analyse Data and Acceptance or Rejection 5:00 

  (P2.4)Hypothesis Test Important vs Significant Differences 3:00 

  (P3.1)Hypo.Test 1 sample and 2 sample T test 14:00 

  (P3.2) Hypothesis test Analysis of Variance (ANOVA) 9:00 

  (P3.3) Hypo. test Chi Square Test 3:00 

 Minitab exercise 

  1 sample ttest (Minitab Exercise)  English 6:00 

  2 sample ttest(Minitab)  English 9:00 

 Design of Experiments (DOE) 

  (P1)Design of Experiments (DOE)Introduction, Benefits, and How DOE works? (English) 10:00 

  (P2.1)DOE How DOE works Example (English) 5:00 

  (P2.2)DOE Key Terms (English) 6:00 

  (P2.3) DOE Coffee making Example (English) 11:00 

  (P3.1) DOESteps, One Factor at a Time (OFAT), Trial and Error, Fractional Factorial (English) 15:00 

  (P3.2)DOE Mould Experiment Design and Main Effect Plot (English) 9:00 

  (P4) DOEMould Experiment(Interaction Effects)(English) 17:00 

  (P5.1)DOEMould Experiment (Interaction Effect summary) (English) 4:00 

  (P5.2)DOECreating design in Minitab(Mould Experiment)(English) 8:00 

  (P6) DOEMinitab Data Analysis(Mould Experiment) (English) 11:00 

  (P7)DOEMinitab Main effect and Interaction(Mould Experiment) (English) 9:00 

 Minitab Exercise 

  DOE(Minitab Exercise) Molding Experiment (English) 23:00 

 Improve Phase 

  (P1) GB ImproveIntro to Improve & DOE Explore Potential Causes 9:00 

  (P2.1)GB ImproveDOE Nomenclature 6:00 

  (P2.2)GB ImproveFactorial Design, Types of Experiment Designs(Factorial Designs, Various factor and Level Designs) 12:00 

  (P3.1)GB ImproveDOE setting Two Level and Three Factor Design 4:00 

  (P3.2)GB ImproveOptimising y and X Design, Define and Determining Operating Limits 10:00 

  (P4.1)GB Improve CounterMeasure Matrix 4:00 

  (P4.2)GB Improve Should be Process Map, Resistance Analysis 13:00 

 Control Phase 

  (P1.1)GB ControlIntro and Controlling the X 7:00 

  (P1.2)GB Control Correction Loop 3:00 

  (P1.3) GB ControlMistake Proofing (PokaYoke), Mistake Proofing Techniques and Advantages of Mistake  Proofing 12:00 

  (P2.1)GB ControlSelecting Control Chart and Action Plan for Out of Control of X's 13:00 

  (P2.2)GB Control Problem Solving Flow, Project closure and Tollgate Control 11:00 

 Lean Tools 

  What is Kaizen? What is MUDA and Types of MUDA (English) 14:00 

  7 Types of MUDA or Waste (English) 13:00 

 Single Minute Exchange of Dies (SMED) 

  (P1) SMED Intro, Benefits and Types of Waste (English) 23:00 

  (P2) SMED Action to reduce setup time (English) 9:00 

  (P3)SMED 04 Stages of Improvement (English) 21:00 

  (P4)SMEDImprovement Example (English) 5:00 

  (P5)SMEDCommon Problem and Solutions(English) 7:00 

 Six Sigma Real World Case Study # 01 (Reduction of Rejection) 

  (P1) GB case Study (Reduction of rejection) Define Phase (English) 18:00 

  (P2) GB case Study (Reduction of rejection) Measure Phase (English) 16:00 

  (P3.1) GB case Study (Reduction of rejection) Charter (English) 11:00 

  (P3.2) GB case Study (Reduction of rejection) Charter (English) 12:00 

  (P4) GB case Study (Reduction of rejection) Analyze Phase (English) 14:00 

  (P5) GB case Study (Reduction of rejection) Improve Phase(English) 5:00 

  (P6) GB case Study (Reduction of rejection) Control Phase(English) 5:00 

 Six Sigma Real World Case Study # 02(Tool Cost Reduction) 

  (P1) GB Case (Tool Cost ) Define 24:00 

  (P2) GB Case (Tool Cost)Measure (14.32) 14:00 

  (P3) GB Case (Tool Cost)Analyse (6.11) 6:00 

  (P4) GB Case (Tool Cost)Improve (9.37) 9:00 

  (P5)GB Case (Tool Cost)Control (6.33) 6:00 

 Six Sigma Real World Case Study # 03(Laboratory) 

  Six Sigma Case Study (Laboratory Process Improvement)  Part 1 24:00 

  Six Sigma Case Study (Laboratory Process Improvement)  Part 2 17:00 

 Six Sigma Case Study #04 (Quality Improvement NonTurbo Parts) 

  (P1)Six Sigma case study (Define)Quality Improvement: Non Turbo Parts English 30:00 

  (P2)Six Sigma case study(Measure Phase)Quality ImprovementNon Turbo Parts English 19:00 

  (P3)Six Sigma case study(Analyze + Improve Phase)Quality ImprovementNon Turbo Parts English 15:00 

  (P4)Six Sigma case study(Control Phase)Quality ImprovementNon Turbo Parts English 5:00 

 Practice Test  LSSGB 

  Lean Six Sigma Green Belt (LSSGB) Practice Test 

 E  Books, pdfs, reference material etc 

  LSSGB Reference Study Material (DMAIC) (188 pages) 

  PANDE  The Six Sigma Way  Quality Management 

  LSSBB Handbook 

  Top 25 Lean Tools 

  Creating a Lean Culture (E book) 

  Six Sigma Project (Green & Black Belt) Template (Optional for Students) (27 pages) 

 Tables  t, z, f & Chi square 

  t,z & f table 

  Chisquaretable 

  DPMO to Sigma conversion table 

 Toll Gates Checklist 

  DMAIC Toll Gates_Define Checklist 

  DMAIC Toll Gates_Measure Checklist 

  DMAIC Toll Gates_Analyse Checklist 

  DMAIC Toll Gates_Improve Checklist 

  DMAIC Toll Gates_Control Checklist 

 Formats 

  Attribute Study (MSA) 

  Control Plan (QHI) 

  FMEA blank format (AIAG+ VDA) 

  FMEA_Format(V4) 

  Gauge R&R (MSA) 

  SOD Table _V4 

  SPC (Format)New 

  Table of Control Chart Constant 

  Brainstorming (Format) 

  Fish Bone Diagram (Template) 

  Gantt Chart (Template) 

  Histogram (Format) 

  Multivoting (Format) 

  WhyWhy Analysis (Format) 

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 Confirmation for Final Test 

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