Certified Lean Six Sigma Black Belt Training [2022]

Aligned With Internationally Accepted CSSBB, LSSBB Body of Knowledge (2022 version) to Pass Any SSBB Exam+ Certification

What you'll learn

Pass your CSSBB , LSSBB exam with super confidence in the first attempt

This course is fully aligned with the Six Sigma Black Belt Body of Knowledge provided by most internationally recognized certification bodies.

Handle complex Six Sigma improvement projects in your organization

Practice tests and quizzes after each section

Life time access to the course material and quizzes.

Requirements

Preferably should have completed Six Sigma Green Belt course

This is an advanced course. Basic concepts are covered but are covered at a faster pace.

Description

Note: Students who complete this course have an option to apply for the certification exam by Quality Gurus Inc. and can achieve the Verified Certification from Quality Gurus Inc. It is optional and there is no separate fee for that.The Most Comprehensive Lean Six Sigma Black Belt Course: This course has 36 hours of videos covering the full scope. This is not a course with just a few easy topics with nice stories and beautiful photos. This is based on the internationally accepted Body of Knowledge.This course is fully aligned with the Six Sigma Black Belt Body of Knowledge provided by most internationally recognized certification bodies. Additional 18 videos are added in July 2022 to cover the updated ASQ® CSSBB BoK.A Lean Six Sigma Black Belt leads the improvement team and is competent at managing a team and using various improvement and statistical tools.Why this course?Learn Lean Six Sigma from an experienced instructor having 35 years of practical experience in implementing Quality Management and Continuous Performance Improvement.9,000+ satisfied students. This course is fully aligned with the Lean Six Sigma Black Belt Body of Knowledge provided by most internationally recognized certification bodies. This is a single course for the Lean Six Sigma Black Belt covering everything you need ever as a Six Sigma Black Belt.This course covers all you need to know as a Black Belt - whether you want to take the CSSBB, LSSBB or any other certification exam or to become the Black Belt improvement leader in your organization.In this course, you will learn to do manual calculations related to statistical concepts for the exam. In addition, you will learn to use Microsoft Excel and/or SigmaXL for performing complex statistical calculations.Quiz questions in each section. 175+ quiz questions are available.What are other students saying about this course?I have taken several Six Sigma Black Belt courses and this course clearly is the best. (5 stars by Milan Padukka)The complex models and theories were well broken down and through practical examples, they were easy to understand. (5 stars by Tobias Trupp)I passed my IASSC Black Belt Certification this week and used his course and slides as main reference points(5 stars by Samrat Dasgupta)I passed the CSSBB exam. I highly recommend this course if you want to crack this tough exam in one go. (5 stars by Sandeep Joshi)Excellent course, It was my main study material for achieving IASCC Black Belt with the first try. (5 stars by Fotios Stathopoulos)Este curso fue una excelente elección debido a que el instructor SANDEEP KUMAR, es un experto en el área de la calidad y transmite sus conocimientos de manera clara y precisa. Además el curso realmente excede todas expectativas planteadas. Cabe señalar que este curso realmente es para BBSS, MBBSS o bien para aquellas personas con una muy buena base de estadística e ingeniería de calidad. Aprovechen y disfrútalo al máximo (5 stars by Juan José Garcia Ochoa)I would recommend it for anyone who needs a clear understanding of six sigma concepts at the black belt level. (5 stars by Solomon Charles)This course is one of the few you can not get from anywhere. Sandeep Kumar's approach of teaching is just amazing. (5 stars by Christopher Yakubu)I recently passed the ASQ CSSBB exam on my first try, and I could NOT have done it without this course. (5 stars by Paul Spaven)I cracked my CSSBB exam with the help course. Very clear and precise way of presenting the concepts. (5 stars by Tapas Kar)After taking Mr. Kumar's course on Udemy, I was able to pass my ASQ CSSBB Exam on the first try. (5 stars by Christopher Philip)What is covered in this course?Master the Six Sigma advanced concepts at your own pace and add value to your organization by improving existing processes. Topics covered in this course include:Section 1: Introduction and Organization-wide Planning and DeploymentSection 2: Process Management and MeasuresSection 3: Team ManagementSection 4: DefineSection 5: MeasureSection 6: AnalyzeSection 7: ImproveSection 8: ControlSection 9: Design for Six Sigma Section 10: Bonus and other miscellaneous topics   What are you waiting for?This course comes with Udemy's 30 days money-back guarantee. If you are not satisfied with the course, get your money back.I hope to see you in the course.Note: We are not a representative of ASQ®, IASSC® or any other certification organization.ASQ® is the registered trademark of the American Society for Quality.IASSC® is the registered trademark of the International Association for Six Sigma Certification.We are an independent training provider. We are neither associated nor affiliated with the certification organization(s) mentioned in our courses. The name and title of the certification exam mentioned in this course are the trademarks of the respective certification organization. We mention these names and/or the relevant terminologies only for describing the relevant exam processes and knowledge (i.e. Fair Use).

Overview

Section 1: Organization-Wide Planning and Deployment (BOK I)

Lecture 1 Course Introduction and Welcome

Lecture 2 Introduction - Section 1

Lecture 3 Fundamentals of six sigma and lean methodologies (BOK I.A.1)

Lecture 4 Six Sigma, Lean, and Other Continuous Improvement Methodologies (BOK I.A.2)

Lecture 5 Selecting Six Sigma Project (BOK I.A.2 Part 2)

Lecture 6 Relationships among business systems and processes (BOK I.A.3)

Lecture 7 Strategic planning and deployment for initiatives (BOK I.A.4)

Lecture 8 Strategic planning and deployment for initiatives (BOK I.A.4 Part 2)

Lecture 9 ASQ CSSBB 2022 Updates: Maturity Model

Lecture 10 ASQ CSSBB 2022 Updates: Business Planning and ROI

Lecture 11 Leadership - Roles and Responsibilities (BOK I.B.1)

Lecture 12 Organizational roadblocks and change management (BOK I.B.2 Part 1)

Lecture 13 Causes of Six Sigma failure (BOK I.B.2 Part 2)

Lecture 14 Change Management (BOK I.B.2 Part 3)

Lecture 15 ASQ CSSBB 2022 Updates: Six Sigma Coaching

Lecture 16 Download pdf Handouts - Section 1

Section 2: Organizational Process Management and Measures (BOK II)

Lecture 17 Introduction - Section 2

Lecture 18 Impact of Six Sigma project on Stakeholders (BOK II.A)

Lecture 19 Benchmarking (BOK II.B)

Lecture 20 Performance Measures (BOK II.C.1)

Lecture 21 Financial Measures (BOK II.C.2)

Lecture 22 ASQ CSSBB 2022 Updates: KPI, KBI and OKR

Lecture 23 Download pdf Handouts - Section 2

Section 3: Team Management (BOK III)

Lecture 24 Introduction - Section 3

Lecture 25 Types of Teams (BOK III.A.1)

Lecture 26 Team Roles (BOK III.A.2)

Lecture 27 Team member selection (BOK III.A.3)

Lecture 28 Team Success Factors (BOK III.A.4)

Lecture 29 Team Motivation (BOK III.B.1)

Lecture 30 Team Stages (BOK III.B.2)

Lecture 31 Team Communications (BOK III.B.3)

Lecture 32 Team Leadership Models (BOK III.B.4)

Lecture 33 Group Behaviors (BOK III.C.1)

Lecture 34 Meeting Management (BOK III.C.2)

Lecture 35 Team Tools (BOK III.C.3)

Lecture 36 Team Training - Need Assessment (BOK III.D.1)

Lecture 37 Team Training - Delivery (BOK III.D.2)

Lecture 38 Team Training - Evaluation (BOK III.D.3)

Lecture 39 ASQ CSSBB 2022 Updates: Section 3 - No Major Change

Lecture 40 Download pdf Handouts - Section 3

Section 4: Define (BOK IV)

Lecture 41 Introduction - Section 4

Lecture 42 Customer Identification (BOK IV.A.1)

Lecture 43 Customer Data Collection (BOK IV.A.2)

Lecture 44 Customer Requirements - Introduction (BOK IV.A.3)

Lecture 45 Customer Requirements - VOC and CTQ (BOK IV.A.3)

Lecture 46 Customer Requirements - Quality Function Deployment QFD (BOK IV.A.3)

Lecture 47 Customer Requirements - SIPOC (BOK IV.A.3)

Lecture 48 Customer Requirements - Kano Model (BOK IV.A.3)

Lecture 49 Project Charter - Writing Business Case (BOK IV.B.1)

Lecture 50 Project Charter - Writing Problem Statement (BOK IV.B.2)

Lecture 51 Project Charter - Writing Project Scope (BOK IV.B.3)

Lecture 52 Project Charter - SMART Goals and Objectives (BOK IV.B.4)

Lecture 53 Project Charter - Project Performance Measurements (BOK IV.B.5)

Lecture 54 Project Charter Review (BOK IV.B.6)

Lecture 55 Project Managament Tools - Gantt Chart (BOK IV.C.1)

Lecture 56 Project Managament Tools - Toll-gate Reviews (BOK IV.C.2)

Lecture 57 Project Managament Tools - WBS (BOK IV.C.3)

Lecture 58 Project Managament Tools - RACI (BOK IV.C.4)

Lecture 59 Analytical Tools - Affinity Diagrams (BOK IV.D.1)

Lecture 60 Analytical Tools - Tree Diagrams (BOK IV.D.2)

Lecture 61 Analytical Tools - Matrix Diagrams (BOK IV.D.3)

Lecture 62 Analytical Tools - Prioritization Matrices (BOK IV.D.4)

Lecture 63 Analytical Tools - Activity Network Diagrams (BOK IV.D.5)

Lecture 64 ASQ CSSBB 2022 Updates: Analytical Tools - PDPC

Lecture 65 ASQ CSSBB 2022 Updates: Analytical Tools - Interrelationship Diagraph

Lecture 66 Download pdf Handouts - Section 4

Section 5: Measure (BOK V)

Lecture 67 Introduction - Section 5

Lecture 68 Process Flow Metrics (BOK V.A.1)

Lecture 69 Process Analysis Tools - Part 1 (BOK V.A.2)

Lecture 70 Process Analysis Tools - Part 2 (BOK V.A.2)

Lecture 71 Types of Data (BOK V.B.1)

Lecture 72 Measurement Scales (BOK V.B.2)

Lecture 73 Sampling (BOK V.B.3)

Lecture 74 Data Collection Plans and Methods (BOK V.B.4)

Lecture 75 Data Collection Plans and Methods - Data Coding (BOK V.B.4)

Lecture 76 Data Collection Plans and Methods - Missing Data (BOK V.B.4)

Lecture 77 Measurement System Analysis - Introduction (BOK V.C.1)

Lecture 78 Measurement System Analysis - Accuracy (BOK V.C.1)

Lecture 79 Measurement System Analysis - Precision (BOK V.C.1)

Lecture 80 Measurement System Analysis - Precision to Tolerance Ratio (BOK V.C.1)

Lecture 81 Measurement System Analysis - Three Methods of GRR (BOK V.C.1)

Lecture 82 Gage R&R - Range Method (BOK V.C.1)

Lecture 83 Gage R&R - Average and Range Method (BOK V.C.1)

Lecture 84 Gage R&R - ANOVA Method (BOK V.C.1)

Lecture 85 Gage R&R - Number of Distinct Categories (NDC) (BOK V.C.1)

Lecture 86 Gage R&R - Crossed vs Nested Gage R&R Study (BOK V.C.1)

Lecture 87 Measurement systems across the organization (BOK V.C.2)

Lecture 88 Metrology (BOK V.C.3)

Lecture 89 Basic statistical terms (BOK V.D.1)

Lecture 90 Central limit theorem (BOK V.D.2)

Lecture 91 Descriptive statistics - Part 1(BOK V.D.3)

Lecture 92 Descriptive statistics - Part 2(BOK V.D.3)

Lecture 93 Descriptive statistics - Part 3(BOK V.D.3)

Lecture 94 Descriptive statistics - Using Microsoft Excel and SigmaXL (BOK V.D.3)

Lecture 95 Graphical Methods - 1 Box and Whisker Plots(BOK V.D.4)

Lecture 96 Graphical Methods - 2 Scatter Plots (BOK V.D.4)

Lecture 97 Graphical Methods - 3 Histograms (BOK V.D.4)

Lecture 98 Graphical Methods - 4 Creating Histograms Using SigmaXL and MS Excel (BOK V.D.4)

Lecture 99 Valid statistical conclusions - Hypothesis Testing (BOK V.D.5)

Lecture 100 Valid statistical conclusions - Types of Errors (BOK V.D.5)

Lecture 101 Probability Basic concepts - Part 1(BOK V.E.1)

Lecture 102 Probability Basic concepts - Part 2 (BOK V.E.1)

Lecture 103 Probability Basic concepts - Part 3 (BOK V.E.1)

Lecture 104 Probability Basic concepts - Part 4 (BOK V.E.1)

Lecture 105 Probability Distributions - Normal Distribution 1 (BOK V.E.2)

Lecture 106 Normal Distribution Calculations Using MS Excel

Lecture 107 Normal Distribution Calculations Using SigmaXL

Lecture 108 Binomial Distribution

Lecture 109 Bernoulli, Hypergeometric, Geometric and Negative Geometric Distributions

Lecture 110 Poisson Distribution

Lecture 111 Process capability indices - Part 1 (BOK V.F.1)

Lecture 112 Process capability indices - Part 2 (BOK V.F.1)

Lecture 113 Process performance indices (BOK V.F.2)

Lecture 114 General process capability studies (BOK V.F.3)

Lecture 115 Process capability for attributes data (BOK V.F.4)

Lecture 116 Process capability for non-normal data (BOK V.F.5)

Lecture 117 Process capability for non-normal data - Transformation of Data (BOK V.F.5)

Lecture 118 Process capability for non-normal data - Box-Cox Transformation (BOK V.F.5)

Lecture 119 Process performance vs. specification (BOK V.F.6)

Lecture 120 Short-term and long-term capability (BOK V.F.7)

Lecture 121 ASQ CSSBB 2022 Updates: Section 5 - No Major Change

Lecture 122 Download pdf Handouts - Section 5

Section 6: Analyze (BOK VI)

Lecture 123 Introduction - Section 6

Lecture 124 Correlation Coefficient - Introduction (BOK VI.A.1)

Lecture 125 Correlation Coefficient - Manual Calculation (BOK VI.A.1)

Lecture 126 Correlation Coefficient - Calculation Using MS Excel (BOK VI.A.1)

Lecture 127 Correlation Coefficient - Summary (BOK VI.A.1)

Lecture 128 Correlation vs Causation (BOK VI.A.1)

Lecture 129 Correlation Coefficient - Calculating Confidence Interval (BOK VI.A.1)

Lecture 130 Coefficient of Determination (BOK VI.A.2)

Lecture 131 Regression Equation - Manual Calculations (BOK VI.A.2)

Lecture 132 Residual Analysis (BOK VI.A.2)

Lecture 133 Multivariate Analysis (BOK VI.A.3)

Lecture 134 Hypothesis Testing Terminology - Errors, Power and Significance (BOK VI.B.1)

Lecture 135 Statistical vs Practical Significance (BOK VI.B.2)

Lecture 136 Understanding Hypothesis Testing (BOK VI.B.3)

Lecture 137 Finding the Z Value (BOK VI.B.3)

Lecture 138 What is p Value? (BOK VI.B.3)

Lecture 139 Sample Sizes for Means and Proportions (BOK VI.B.3)

Lecture 140 Point and Interval Estimate - Introduction ( BOK VI.B.4)

Lecture 141 Factors Affecting Confidence Interval Width (BOK VI.B.4)

Lecture 142 Calculating Confidence Interval for Mean - z Distribution (BOK VI.B.4)

Lecture 143 Calculating Confidence Interval for Mean - t Distribution (BOK VI.B.4)

Lecture 144 Calculating Confidence Interval for Proportions (BOK VI.B.4)

Lecture 145 Calculating Confidence Interval for Variance (BOK VI.B.4)

Lecture 146 Tests for mean variance and proportions - Introduction (BOK VI.B.5)

Lecture 147 Tests for mean variance and proportions - z Test (BOK VI.B.5)

Lecture 148 Tests for mean variance and proportions - t Test (BOK VI.B.5)

Lecture 149 Tests for mean variance and proportions - p Test (BOK VI.B.5)

Lecture 150 Two Sample z Test (BOK VI.B.5)

Lecture 151 Two Sample t Test - Introduction (BOK VI.B.5)

Lecture 152 Two Sample t Test - Equal Variance (BOK VI.B.5)

Lecture 153 Two Sample t Test - Unequal Variance (BOK VI.B.5)

Lecture 154 Two Sample Paired t Test (BOK VI.B.5)

Lecture 155 Two Sample p Test (BOK VI.B.5)

Lecture 156 Tests for Variance - F and Chi Square (BOK VI.B.5)

Lecture 157 F Test (BOK VI.B.5)

Lecture 158 One Sample Chi Square Test (BOK VI.B.5)

Lecture 159 ANOVA - Introduction (BOK VI.B.6)

Lecture 160 ANOVA - Understanding the Concept without any Calculation (BOK VI.B.6)

Lecture 161 ANOVA - Understanding the Calculation (BOK VI.B.6)

Lecture 162 ANOVA - Doing Manual Calculation (BOK VI.B.6)

Lecture 163 ANOVA - Using MS Excel (BOK VI.B.6)

Lecture 164 ANOVA - Using SigmaXL (BOK VI.B.6)

Lecture 165 ANOVA - Practice Question (BOK VI.B.6)

Lecture 166 Goodness of Fit Test (BOK VI.B.7)

Lecture 167 Contingency Tables (BOK VI.B.8)

Lecture 168 Contingency Tables - Practice Question(BOK VI.B.8)

Lecture 169 Non-Parametric Tests (BOK VI.B.9)

Lecture 170 Failure Mode and Effect Analysis - FMEA Introduction (BOK VI.C)

Lecture 171 Failure Mode and Effect Analysis - FMEA (BOK VI.C)

Lecture 172 ASQ CSSBB 2022 Updates: Risk Management Definitions

Lecture 173 ASQ CSSBB 2022 Updates: 5 Steps of Risk Management

Lecture 174 ASQ CSSBB 2022 Updates: Identify Risks

Lecture 175 ASQ CSSBB 2022 Updates: Analyze Risks

Lecture 176 ASQ CSSBB 2022 Updates: Risk Responses

Lecture 177 ASQ CSSBB 2022 Updates: Implement and Control Risk Management

Lecture 178 Gap Analysis (BOK VI.D.1)

Lecture 179 Root Cause Analysis (RCA) Introduction (BOK VI.D.2)

Lecture 180 Root Cause Analysis (RCA) Tools (BOK VI.D.2)

Lecture 181 Root Cause Analysis (RCA) - 5 Whys (BOK VI.D.2)

Lecture 182 Root Cause Analysis (RCA) - Pareto Chart (BOK VI.D.2)

Lecture 183 Root Cause Analysis (RCA) - Fault Tree (BOK VI.D.2)

Lecture 184 Root Cause Analysis (RCA) - Cause and Effect (BOK VI.D.2)

Lecture 185 Waste Analysis (BOK VI.D.3)

Lecture 186 ASQ CSSBB 2022 Updates: A3 Problem Solving

Lecture 187 Download pdf Handouts - Section 6

Section 7: Improve (BOK VII)

Lecture 188 Introduction - Section 7

Lecture 189 Design of Experiments (DoE) - Introduction (BOK VII.A.1)

Lecture 190 Design of Experiments (DoE) - Response and Factor (BOK VII.A.1)

Lecture 191 Design of Experiments (DoE) - Example of a Coffee Launch (BOK VII.A.1)

Lecture 192 Design of Experiments (DoE) - Interaction Chart (BOK VII.A.1)

Lecture 193 Design of Experiments (DoE) - Contour Plot (BOK VII.A.1)

Lecture 194 Design of Experiments - Writing an Equation to Predict Response (BOK VII.A.1)

Lecture 195 Design of Experiments (DoE) - Introducing Interaction (BOK VII.A.2)

Lecture 196 Design of Experiments (DoE) - Writing an Equation with Interaction (BOK VII.A.2)

Lecture 197 Design of Experiments (DoE) - Basic Definitions (BOK VII.A.1 and VII.A.2)

Lecture 198 Design of Experiments (DoE) - Three Factors Full Factorial Design (BOK VII.A.2)

Lecture 199 DoE - Calculating Numbers of Experiments - Full Factorial (BOK VII.A.2)

Lecture 200 Design of Experiments (DoE) - Nuisance Factors and Balanced Design (BOK VII.A.2)

Lecture 201 Design of Experiments (DoE) - Half Factorial, Confounding and Resolutions

Lecture 202 Design of Experiments (DoE) - Planning and Conducting Experiments (BOK VII.A.3)

Lecture 203 Design of Experiments (DoE) - One-Factor Experiments - Intro (BOK VII.A.4)

Lecture 204 One-Factor Experiments - Completely Randomized Designs (BOK VII.A.4)

Lecture 205 One-Factor Experiments - Randomized Block Designs (BOK VII.A.4)

Lecture 206 One-Factor Experiments - Latin and Graeco-Latin Square Designs (BOK VII.A.4)

Lecture 207 DoE - Two Level Fractional Factorial Designs - Review (BOK VII.A.5)

Lecture 208 Two Level Fractional Factorial Designs - Number of Experiments (BOK VII.A.5)

Lecture 209 Two Level Fractional Factorial Designs - Plackett-Burman Design (BOK VII.A.5)

Lecture 210 Types of Wastes - Muda, Mura and Muri (BOK VII.B.1)

Lecture 211 Wastes - Eight Types of Muda - Introduction to TIMWOODS (BOK VII.B.1)

Lecture 212 Eight Types of Muda - Transport and Inventory (BOK VII.B.1)

Lecture 213 Eight Types of Muda - Motion and Waiting (BOK VII.B.1)

Lecture 214 Eight Types of Muda - Over-processing and Over-producing (BOK VII.B.1)

Lecture 215 Eight Types of Muda - Defects and Underutilization of Skills (BOK VII.B.1)

Lecture 216 Tools to Reduce or Eliminate Waste - Pull System (BOK VII.B.1)

Lecture 217 Tools to Reduce or Eliminate Waste - Kanban (BOK VII.B.1)

Lecture 218 Tools to Reduce or Eliminate Waste - 5 S (BOK VII.B.1)

Lecture 219 Tools to Reduce or Eliminate Waste - Standard Work (BOK VII.B.1)

Lecture 220 Tools to Reduce or Eliminate Waste - Poka Yoke (BOK VII.B.1)

Lecture 221 Tools for Cycle Time Reduction - Continuous Flow (BOK VII.B.2)

Lecture 222 Tools for Cycle Time Reduction - SMED (BOK VII.B.2)

Lecture 223 Tools for Cycle Time Reduction - Heijunka (BOK VII.B.2)

Lecture 224 Kaizen (BOK VII.B.3)

Lecture 225 Theory of Constraints - Introduction (BOK VII.B.4)

Lecture 226 Theory of Constraints - Identify and Eliminate Constraints (BOK VII.B.4)

Lecture 227 Theory of Constraints - Throughput Accounting (BOK VII.B.4)

Lecture 228 Theory of Constraints - Drum, Buffer and Rope (BOK VII.B.4)

Lecture 229 Overall Equipment Effectiveness (OEE) - Introduction (BOK VII.B.4)

Lecture 230 Overall Equipment Effectiveness (OEE) - Example (BOK VII.B.4)

Lecture 231 Implementation Approaches (BOK VII.C)

Lecture 232 ASQ CSSBB 2022 Updates: Section 7 - No Major Change

Lecture 233 Download pdf Handouts - Section 7

Section 8: Control (BOK VIII)

Lecture 234 Introduction - Section 8

Lecture 235 Statistical Process Control Objectives (BOK VIII.A.1)

Lecture 236 Selection of Variables (BOK VIII.A.2)

Lecture 237 Rational Subgrouping (BOK VIII.A.3)

Lecture 238 Control Chart Selection (BOK VIII.A.4)

Lecture 239 I-MR Chart Explained (BOK VIII.A.4)

Lecture 240 I-MR Chart Calculation Demonstration (BOK VIII.A.4)

Lecture 241 Value of d2 Constant (BOK VIII.A.4)

Lecture 242 Xbar-R Chart Explained (BOK VIII.A.4)

Lecture 243 A2 Constant Explained (BOK VIII.A.4)

Lecture 244 Xbar-R Chart Demonstration (BOK VIII.A.4)

Lecture 245 Xbar S Chart Explained (BOK VIII.A.4)

Lecture 246 Attribute Control Charts - Introduction (BOK VIII.A.4)

Lecture 247 np Control Charts (BOK VIII.A.4)

Lecture 248 np Control Chart - Demonstration (BOK VIII.A.4)

Lecture 249 p Control Charts (BOK VIII.A.4)

Lecture 250 p Control Charts - Demonstration (BOK VIII.A.4)

Lecture 251 c Control Charts (BOK VIII.A.4)

Lecture 252 c Control Chart - Demonstration (BOK VIII.A.4)

Lecture 253 u Control Charts (BOK VIII.A.4)

Lecture 254 u Control Chart - Demonstration (BOK VIII.A.4)

Lecture 255 Control Chart Analysis (BOK VIII.A.5)

Lecture 256 Control Chart Analysis - Finding Probabilities (BOK VIII.A.5)

Lecture 257 Total Productive Maintenance (BOK VIII.B.1)

Lecture 258 Visual Controls (BOK VIII.B.2)

Lecture 259 Control Plan (BOK VIII.C.2)

Lecture 260 Sustain Improvements - Lessons Learned (BOK VIII.D.1)

Lecture 261 Sustain Improvements - Documentation (BOK VIII.D.2)

Lecture 262 Sustain Improvements - Training (BOK VIII.D.3)

Lecture 263 Sustain Improvements - Ongoing Evaluations (BOK VIII.D.4)

Lecture 264 ASQ CSSBB 2022 Updates: Section 8 - No Major Change

Lecture 265 Download pdf Handouts - Section 8

Section 9: Design for Six Sigma (BOK IX)

Lecture 266 Introduction - Section 9

Lecture 267 Common DFSS Methodologies (BOK IX.A)

Lecture 268 9B - Design for X (BOK IX.B)

Lecture 269 9B - Design for Manufacturing (BOK IX.B)

Lecture 270 9B - Design for Maintainability (BOK IX.B)

Lecture 271 Design for Reliability (BOK IX.B)

Lecture 272 Design for Logistics and Environment (BOK IX.B)

Lecture 273 Design for X - Summary (BOK IX.B)

Lecture 274 Robust Design Introduction (BOK IX.C)

Lecture 275 Robust Design Defined (BOK IX.C)

Lecture 276 Robust Design - Control and Noise Factors (BOK IX.C)

Lecture 277 Robust Design - Taguchi Loss Function (BOK IX.C)

Lecture 278 Robust Design - Taguchi Loss Function - Calculations (BOK IX.C)

Lecture 279 ASQ CSSBB 2022 Updates: Section 9 - No Major Change

Lecture 280 Download pdf Handouts - Section 9

Section 10: Section 10 - Additional Topics

Lecture 281 Moving Average Control Charts

Lecture 282 Pre-Control Charts

Lecture 283 Short- run SPC - Part 1 - Introduction and Difference Chart

Lecture 284 Short- run SPC - Part 2 - Z-MR Chart

Lecture 285 Download pdf Handouts - Section 10

Section 11: BONUS SECTION

Lecture 286 BONUS LECTURE

This course is meant for people aspiring to be the organizational Six Sigma Black Belt resource and to be the source of statistical knowledge