Certified Quality Engineer Training

Master the Quality Engineering Concepts - Comprehensive Certified Quality Engineer (CQE) Exam Preparation Course

What you'll learn
Pass any Quality Engineer Certification exam in the first attempt
Confidently use the quality concepts such as: Reliability, Acceptance Sampling, Measurement System Analysis, Control Charts, Design of Experiments etc
Master the descriptive and inferential statistics concepts such as: Hypothesis Testing, Probability Distribution, Z Test, t Test, Chi Square Test, ANOVA
This course is fully aligned with the Certified Quality Engineer Body of Knowledge provided by most internationally recognized certification bodies.
Requirements
Basic understanding of the quality concepts in your industry
Description
Quality Engineering - from Zero to Hero. Easily pass any Certified Quality Engineer (CQE) examination and get certified. This course covers all you need to know as a Quality Engineer - whether you want to take a Quality Engineer certification exam or be a successful Quality Engineer in your organization.    ________________________________________Why this course?Learn from an experienced instructor having 35 years of "practical experience" in implementing Quality Management and Continuous Performance Improvement.5,000+ satisfied students. This course is fully aligned with the Certified Quality Engineer (CQE) Body of Knowledge.This course covers all you need to know as a Quality Engineer and to pass your CQE certification exam.  Quiz questions in each section. 175+ quiz questions are available.Are you appearing in the Certified Quality Engineer (CQE) exam?You know the basics, but when it comes to statistics, you get confused.You find concepts such as central limit theorem, probability distributions, hypothesis testing and design of experiments are too complex to understand.You wish someone could explain these to you without using complex terminology, in plain and simple language.Does this sound familiar? Let me help you understand these concepts and many more in plain and simple terms at such an affordable price.________________________________________What is covered in this course?Master the Quality Engineering advanced concepts at your own pace and add value to your organization by improving existing processes.    Areas covered in this course:    1. Management & Leadership2. The Quality System3. Product & Process Design4. Product & Process Control5. Continuous Improvement6. Quantitative Methods & Tools7. Risk ManagementQuiz questions in each section. 175+ quiz questions are available.Key Features:   Short and easy to understand videos covering the complete Body of KnowledgeDownloadable lecture slides after each sectionQuiz questions after each section to test your understanding.Ask your questions in the Q&A section Satisfaction guaranteed - 30 days money-back policy - no questions asked Certificate of Completion provided________________________________________What are other students saying about this course?★★★★★  I had my CQE exam yesterday, and passed on my first attempt! This content was spot on and very helpful for taking the exam. Thanks a bunch! (5 stars by David Gonzalez)★★★★★  Yes, it was a great match. Just wished I found it sooner. (5 stars by Amos Battoo)★★★★★  I went through this course and I must confess it exceeded my expectations, as I passed my CQE exams at a sitting. Sandeep not only dissected the CQE handbook for easy understanding, but more so provided a well grounded knowledge on the modules. I can never be more grateful for his insight. If you intend to sit for CQE exam, just go through this course and some exam questions you can find online. You will be fine. Thank you Sandeep and Udemy for an amazing work. (5 stars by Ndubuisi N Ogbuezi)★★★★★  I have cleared ASQ CQE in my 1st attempt. This course helped me to understand the basic concepts through Mr.Sandeep's simple examples. (5 stars by Sarath K Jolly)★★★★★  Best affordable online lectures for passing CQE exam. Ton of thanks to Sandeep. I passed my CQE exam by reviewing this course multiple times. I also studied quality CQE handbook and ASQ CQE study guide. (5 stars by Sudhakar Thamodharan)★★★★★  Just took my CQE exam and this class is definitely the reason that I passed first try. (5 stars by Hilary High)★★★★★  I really liked the way, complex topics are simplified by Sandeep Sir. (5 stars by Babeeta Nautiyal)★★★★★  This preparation course helped me to clear my ASQ CQE exam. (5 stars by Vivek S A)★★★★★  I have passed the CQE successfully. This course is more than helpful to have a crack at it. (5 stars by Manohar Thummapudi)★★★★★  I learned a lot from this course and it helped me to pass my CQE exam. (5 stars by Jose Cortes)★★★★★  This course explains Body of knowledge in a very clear and comprehensive manner. I have cleared my CQE exam in the first attempt itself. (5 stars by Dupinderjit Singh)★★★★★  It really easy to listen and watch I hope I can get through the CQE exams very easily INSHALLAH. (5 stars by Adeel Siddiqui)★★★★★  Excellent course, it has helped me a lot for preparing for the CQE exam, totally recommended. (5 stars by Miroslav Vulinovic)★★★★★  I have not taken the CQE test yet but with my notes from this training, I am hoping it would be enough to pass this exam. (5 stars by Priscilla Acquah)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: **** Section I - Management and Leadership (18 Questions) ****

Lecture 1 Management and Leadership

Lecture 2 1A-1 History of Quality

Lecture 3 1A-1 Quality Gurus

Lecture 4 1A-1 Quality Guru - Edwards Deming

Lecture 5 1A-1 Deming's 14 Points of Leadership - Part 1

Lecture 6 1A-1 Deming's 14 Points of Leadership - Part 2

Lecture 7 1A-1 Deming's 14 Points of Leadership - Part 3

Lecture 8 1A-1 Deming's 14 Points of Leadership - Part 4

Lecture 9 1A-1 Deming's 14 Points of Leadership - Part 5

Lecture 10 1A-1 Quality Guru - Joseph Juran

Lecture 11 1A-1 Juran's 10 Points of Improvement

Lecture 12 1A-1 Juran's Trilogy

Lecture 13 1A-1 Quality Guru - Philip Crosby

Lecture 14 1A-1 Crosby's Four Absolutes of Quality

Lecture 15 1A-2 Continuous Improvement Tools - Introduction

Lecture 16 1A-2 Continuous Improvement Tools - Lean

Lecture 17 1A-2 Continuous Improvement Tools - Six Sigma

Lecture 18 1A-2 Continuous Improvement Tools - Theory of Constraints (TOC)

Lecture 19 1A-2 Continuous Improvement Tools - SPC

Lecture 20 1A-2 Continuous Improvement Tools - TQM

Lecture 21 1B-1 Strategic Planning

Lecture 22 1B-2 QMS Deployment Techniques

Lecture 23 1B-2a Benchmarking - Part 1

Lecture 24 1B-2a Benchmarking - Part 2

Lecture 25 1B-2a Benchmarking - Part 3

Lecture 26 1B-2b Stakeholder Analysis

Lecture 27 1B-2c Performance Measures - Balanced Score Card

Lecture 28 1B-2c Performance Measures - Leading vs Lagging Indicators

Lecture 29 1B-2d Project Management - Gantt Chart - Part 1

Lecture 30 1B-2d Project Management - Gantt Chart - Part 2

Lecture 31 1B-2d PM Tools - Activity Network Diagrams

Lecture 32 1B-2d PM Tools - Activity Network Diagrams - Example

Lecture 33 1B-2d CPM - Float and Critical Path

Lecture 34 1B-2d CPM - Forward and Backward Pass

Lecture 35 1B-2d PM Tools - PERT (Program Evaluation and Review Technique)

Lecture 36 1B-2d Project Management - Resource Allocation

Lecture 37 1B-3 Quality Information System(QIS)

Lecture 38 1C ASQ Code of Ethics for Professional Conduct

Lecture 39 1D Leadership Principal and Techniques - Types of Teams

Lecture 40 1D Leadership Principal and Techniques - Tuckman's Model

Lecture 41 1E-1Team Roles and Responsibilities

Lecture 42 1E-2 Facilitation Tools - Introduction

Lecture 43 1E-2 Facilitation Tools - Brainstorming

Lecture 44 1E-2 Facilitation Tools - Nominal Group Technique NGT

Lecture 45 1E-2 Facilitation Tools - Multivoting

Lecture 46 1E-2 Facilitation Tools - Conflict Resolution

Lecture 47 1E-2 Facilitation Tools - Force Field Analysis

Lecture 48 1F Communication Skills

Lecture 49 1G Customer Relations

Lecture 50 1G Quality Function Deployment

Lecture 51 1G Customer Satisfaction

Lecture 52 1H Supplier Management Techniques - Introduction

Lecture 53 1H-1Techniques - Supplier Lifecycle Management

Lecture 54 1H-1 Supplier Lifecycle Management - Four Stages

Lecture 55 1H1 Supplier Selection - Overview

Lecture 56 1H1 Supplier Selection Process

Lecture 57 1H-2 Supplier Monitoring and Improvement

Lecture 58 1H-3 Supplier Risk - Introduction

Lecture 59 1H-3 Risk Management Steps

Lecture 60 1H-3 Risk Management Strategies

Lecture 61 1I Barriers to Quality Improvement

Lecture 62 Section I - Download Slides

Section 2: **** Section II - The Quality System (16 Questions) ****

Lecture 63 2A-1 Basic elements

Lecture 64 2A-2 Design

Lecture 65 2B-1 Document components

Lecture 66 2B-2 Document control

Lecture 67 2C-1 Quality Standards and Other Guidelines

Lecture 68 2C-2 ISO 9000 Series of Standards

Lecture 69 2C-3 ISO 9001 Revision History

Lecture 70 2C-4 ISO 9001:2015 Reasons Behind the Revision

Lecture 71 2C-5 ISO 9001:2015 Key Changes

Lecture 72 2C-6 ISO 9001 Clauses Explained

Lecture 73 2C-7 Quality Awards - MBNQA

Lecture 74 2D1-1 Types of audits Product Process System

Lecture 75 2D1-2 Types of audits First Second and Third Party

Lecture 76 2D2-1 Roles and responsibilities in audits

Lecture 77 2D2-2 Additional Roles and responsibilities in audits

Lecture 78 2D-3 Audit planning and implementation

Lecture 79 2D-4 Audit reporting and follow- up

Lecture 80 2E-1 Cost of Quality (COQ) - Introduction

Lecture 81 2E-2 Cost of Quality Classification

Lecture 82 2E-3 Cost of Quality Why & Optimum Costs

Lecture 83 2E-4 Cost of Quality Taguchi Loss Function

Lecture 84 2E-5 Cost of Quality Example of Taguchi Loss Function

Lecture 85 2E-6 Taguchi Loss Function three models

Lecture 86 2F-1 Quality Training ADDIE Model

Lecture 87 2F-2 Quality Training Kirkpatrick Model

Lecture 88 Section II - Download Slides

Section 3: **** Section III Product, Process, and Service Design (23 questions) ****

Lecture 89 3A Classification of Quality Characteristics

Lecture 90 3A Service Quality Characteristics

Lecture 91 3B-1 Design Inputs - Introduction

Lecture 92 3B-1 Design Input Tools

Lecture 93 3B-1 Robust Design - Introduction

Lecture 94 3B-1 Robust Design - Control and Noise Factors

Lecture 95 3B-1 Robust Design - Type of Noise Factors

Lecture 96 3B-1 Robust Design - Ways to Reduce the Effect of Noise - Part 1

Lecture 97 3B-1 Robust Design - Ways to Reduce the Effect of Noise - Part 2

Lecture 98 3B-1 Robust Design - Signal to Noise Ratio (SNR)

Lecture 99 3B-1 Failure Mode and Effects Analysis (FMEA) - Introduction

Lecture 100 3B-1 Failure Mode and Effects Analysis (FMEA) - Part 1

Lecture 101 3B-1 Failure Mode and Effects Analysis (FMEA) - Part 2

Lecture 102 3B-1 Failure Mode and Effects Analysis (FMEA) - Part 3

Lecture 103 3B-1 Quality Function Deployment (QFD)

Lecture 104 3B-1 Design for X - Introduction

Lecture 105 3B-1 Design for X - Part 1

Lecture 106 3B-1 Design for X - Part 2

Lecture 107 3B-1 Design for Six Sigma (DFSS)

Lecture 108 3B-2 Design Review

Lecture 109 3C Technical Drawing and Specifications - Projections

Lecture 110 3C Drawing - First Angle Projection Symbol

Lecture 111 3C Drawing - First Angle Projection Example

Lecture 112 3C Drawing - Third Angle Projection Symbol

Lecture 113 3C Drawing - Third Angle Projection Example

Lecture 114 3C Drawing - Title Block

Lecture 115 3C Drawing - Line Types

Lecture 116 3C Drawing - Dimensioning

Lecture 117 3C Drawing - Tolerances

Lecture 118 3C Geometric Dimensioning & Tolerancing (GD&T) - Intro

Lecture 119 3C Geometric Dimensioning & Tolerancing (GD&T) - Part 1

Lecture 120 3C Geometric Dimensioning & Tolerancing (GD&T) - Part 2

Lecture 121 3C Geometric Dimensioning & Tolerancing (GD&T) - Part 3

Lecture 122 3D Verification and Validation

Lecture 123 3E-1 Predictive and Preventive Maintenance

Lecture 124 3E-2 Reliability and Maintainability Indices

Lecture 125 3E-2 Measuring Reliability

Lecture 126 3E-2 Mean Time to Failure - MTTF

Lecture 127 3E-2 Mean Time Between Failures - MTBF

Lecture 128 3E-2 Solved Questions - Mean Time Between Failures - MTBF

Lecture 129 3E-2 Mean Time Between Failures - MTBF - Probability Distribution

Lecture 130 3E-2 Mean Time to Repair - MTTR

Lecture 131 3E-3 Reliability Models - Introduction

Lecture 132 3E-3 Reliability Hazard Function

Lecture 133 3E-3 Bathtub Curve

Lecture 134 3E-3 Bathtub Curve - Distributions

Lecture 135 3E-3 Back to Basics - Probability

Lecture 136 Probability - Type of Events

Lecture 137 3E-3 Probability - Addition Rule

Lecture 138 3E-3 Probability - Multiplication Rule

Lecture 139 3E-3 Reliability Example - Part 1

Lecture 140 3E-3 Reliability Example - Part 2

Lecture 141 3E-3 System Reliability Components in Series

Lecture 142 3E-3 System Reliability Components in Parallel

Lecture 143 3E-3 System Reliability Example

Lecture 144 3E-3 Weibull Distribution

Lecture 145 3E-3 Exponential Distribution

Lecture 146 3E-3 Exponential Distribution Summary

Lecture 147 3E-3 Exponential Distribution - Example 1

Lecture 148 3E-3 Exponential Distribution - Example 2

Lecture 149 3E-3 Exponential Distribution - Example 3

Lecture 150 3E-4 Fault Tree Analysis

Lecture 151 3E-4 Fault Tree Analysis - Example

Lecture 152 Section III - Download Slides

Section 4: **** Section IV. Product and Process Control (25 Questions) ****

Lecture 153 4 -Product and Process Control (25Questions)

Lecture 154 4A Methods - Control Plan

Lecture 155 4A Methods - Critical Control Point (CCP) Identification

Lecture 156 4A Methods - Work Instructions and Validation

Lecture 157 4B-1 Material Identification, Status, and Traceability

Lecture 158 4B-2 Material Segregation

Lecture 159 4B-3 Material Classification

Lecture 160 4B-4 Material Review Board (MRB)

Lecture 161 4C Acceptance Sampling - Introduction

Lecture 162 4C-1 Sample vs Population

Lecture 163 4C-1 Sampling Errors

Lecture 164 4C-1 Acceptance Sampling Standards ANSI Z1.4 and Z1.9, MIL-STD-104 and 414

Lecture 165 4C-1 Acceptable Quality Limit (AQL)

Lecture 166 4C-1 Rejectable Quality Limit (RQL)

Lecture 167 4C-1 Operating Characteristic (OC) Curve Introduction

Lecture 168 4C-1 Plotting an OC Curve - Part 1

Lecture 169 4C-1 Plotting an OC Curve - Part 2

Lecture 170 4C-1 Plotting an OC Curve - Part 3

Lecture 171 4C-1 Average Outgoing Quality (AOQ)

Lecture 172 4C-1 Average Outgoing Quality Limit (AOQL)

Lecture 173 4C-1 Average Total Inspection (ATI)

Lecture 174 4C-2 Sampling Standards

Lecture 175 4C-2 Attribute Sampling

Lecture 176 4C-2 Attribute Sampling - Two Examples

Lecture 177 4C-2 Inspection Levels

Lecture 178 4C-2 Reduced Normal and Tightened Inspection

Lecture 179 4C-2 Single, Double, and Multiple Sampling

Lecture 180 4C-2 Dodge Romig Sampling Plans

Lecture 181 4C-2 Variable Sampling

Lecture 182 4C-3 Sample Integrity

Lecture 183 4D-1 Measurement Tools

Lecture 184 4D -2 Destructive Tests

Lecture 185 4D-2 Nondestructive Tests Part 1

Lecture 186 4D-2 Nondestructive Tests Part 2

Lecture 187 4E Metrology

Lecture 188 4F Measurement system analysis (MSA) - Introduction

Lecture 189 4F - MSA - Accuracy - Bias, Linearity and Stability

Lecture 190 4F - MSA - Precision - Repeatability and Reproducibility / PT Ratio

Lecture 191 4F - Gage R&R - Three Methods - Introduction

Lecture 192 4F - Gage R&R - Range Method

Lecture 193 4F - Gage R&R - Average and Range Method

Lecture 194 4F - Gage R&R - ANOVA Method

Lecture 195 4F Number of Distinct Categories (NDC)

Lecture 196 4F Crossed vs Nested Studies

Lecture 197 Section IV - Download Slides

Section 5: **** Section V. Continuous Improvement (27 Questions) ****

Lecture 198 5A Quality Control Tools - Introduction

Lecture 199 5A QC Tools - 1. Checksheet

Lecture 200 5A QC Tools - 2. Cause and Effects Analysis

Lecture 201 5A QC Tools - 3. Histogram

Lecture 202 5A QC Tools - 4. Pareto Chart

Lecture 203 5A QC Tools - 5. Scatter Diagram

Lecture 204 5A QC Tools - 6. Control Charts

Lecture 205 5A QC Tools - 7. Stratification

Lecture 206 5A QC Tools - Flow Chart (additional tool in ASQ CQE BoK)

Lecture 207 5B QM&P Tools - 1a. Affinity Diagram

Lecture 208 5B QM&P Tools - 1b. Force Field Analysis

Lecture 209 5B QM&P Tools - 2. Tree Diagram

Lecture 210 5B QM&P Tools - 3. Process Decision Program Charts (PDPC)

Lecture 211 5B QM&P Tools - 4. Matrix Diagram

Lecture 212 5B QM&P Tools - 5. Interrelationship Digraphs

Lecture 213 5B QM&P Tools - 6. Prioritization Matrix

Lecture 214 5B QM&P Tools - 7. Activity Network Diagram

Lecture 215 5C-1 Total Quality Management (TQM)

Lecture 216 5C-2 Kaizen

Lecture 217 5C-3 Plan-do-check-act (PDCA)

Lecture 218 5C-4 Six Sigma

Lecture 219 5C-5 Theory of Constraints (TOC) - Introduction

Lecture 220 5C-5 Theory of Constraints (TOC) - Five Steps

Lecture 221 5C-5 Theory of Constraints (TOC) - Drum Buffer Rope

Lecture 222 5D1 - 5S Workplace Improvement

Lecture 223 5D2 - Value-stream Mapping (VSM)

Lecture 224 5D3 - Kanban

Lecture 225 5D4 Visual Control

Lecture 226 5D5 Waste (Muda)

Lecture 227 5D5 - Types of Muda - Part 1

Lecture 228 5D5 - Types of Muda - Part 2

Lecture 229 5D6 - Standardized Work

Lecture 230 5D7 - Takt Time and other Process Matrics

Lecture 231 5D8 - Single Minute Exchange of Die (SMED)

Lecture 232 5E Corrective Action

Lecture 233 5E Root Cause Analysis (RCA)

Lecture 234 5F Preventive Action

Lecture 235 5F Poka-yoke for Preventive Action

Lecture 236 5F Robust Design for Preventive Action

Lecture 237 Section V - Download Slides

Section 6: **** Section VI. Quantitative Methods and Tools (36 Questions) ****

Lecture 238 Welcome to Section 6

Lecture 239 6A-1 Type of data

Lecture 240 6A-2 Measurement scales

Lecture 241 6A-3 Data Collection Methods

Lecture 242 6A-3 Data Coding

Lecture 243 6A-3 Missing Data

Lecture 244 6A-4 Data accuracy and integrity

Lecture 245 6A-5 Descriptive Statistics - Introduction

Lecture 246 6A-5 Measurements of Central Tendency

Lecture 247 6A-5 Measurements of Dispersion

Lecture 248 6A-6 Stem-and-leaf Plot

Lecture 249 6A-6 Box-and-Whisker Plot

Lecture 250 6A-6 Scatter Plot

Lecture 251 6A-7 Graphical Methods for Depicting Distributions

Lecture 252 6B-1 Terminology - Type I and Type II Errors

Lecture 253 6B-1 Hypothesis Testing Explained

Lecture 254 6B-1 How to read the Z Table?

Lecture 255 6B-1 Understanding the p Value

Lecture 256 6B-1 Calculating Sample Size

Lecture 257 6B-2 Drawing statistical conclusions

Lecture 258 6B-3 Probability Terms and Concepts - Part 1

Lecture 259 6B-3 Probability Terms and Concepts - Part 2

Lecture 260 6B-3 Probability Terms and Concepts - Part 3

Lecture 261 6B-3 Factorial, Permutations and Combinations

Lecture 262 6C Normal Probability Distribution

Lecture 263 6C Binomial Probability Distribution

Lecture 264 6C Bernoulli and Hypergeometric Distribution

Lecture 265 6C Poisson Distribution

Lecture 266 6D-1 Point Estimates and Confidence Intervals - Introduction

Lecture 267 6D-1 Factors Affecting Confidence Interval Width

Lecture 268 6D-1 Calculating Confidence Interval Using Z Table

Lecture 269 6D-1 Calculating Confidence Interval Using t Table

Lecture 270 6D-1 Calculating Confidence Interval for Proportions

Lecture 271 6D-1 Variance Confidence Interval

Lecture 272 6D-2 Hypothesis Testing - Introduction

Lecture 273 6D-2 One Sample z Test

Lecture 274 6D-2 One Sample t Test

Lecture 275 6D-2 One Sample Proportions Test

Lecture 276 6D-2 Two Sample z Test

Lecture 277 6D-2 Two Sample t Test - Introduction

Lecture 278 6D-2 Two Sample t Test - Example with Equal Variance

Lecture 279 6D-2 Two Sample t Test - Example with Un-equal Variance

Lecture 280 6D-3 Paired -comparision tests (Paired t Test)

Lecture 281 6D-3 Two Sample p Test

Lecture 282 6D-2 Tests for Variance

Lecture 283 6D-2 F Test for Comparing Variances

Lecture 284 6D-2 Chi-square Test for Variance

Lecture 285 6D-5 Analysis of Variance (ANOVA) - Introduction

Lecture 286 6D-5 ANOVA - Comparing Means Without Any Calculation

Lecture 287 6D-5 ANOVA Formulas

Lecture 288 6D-5 ANOVA Manual Calculations Example

Lecture 289 6D-5 ANOVA Using Microsoft Excel

Lecture 290 6D-5 ANOVA - Example (Expect something like this in the CQE exam)

Lecture 291 6D-4 Goodness -of-fit tests

Lecture 292 6D-6 Contingency Tables

Lecture 293 6D-6 Contingency Tables (Practice Problem)

Lecture 294 6E Simple Linear Correlation - Introduction

Lecture 295 6E Correlation Coefficient Manual Calculation

Lecture 296 6E Correlation Coefficient - Calculating Using MS Excel

Lecture 297 6E Correlation - Summary

Lecture 298 6E Correlation vs Causation

Lecture 299 6E Correlation - Confidence Interval

Lecture 300 6E Linear Regression - Coefficient of Determination

Lecture 301 6E Regression Equation - Manual Calculation

Lecture 302 6E Residual Analysis

Lecture 303 6E Time-series Analysis

Lecture 304 6F-1 Statistical Process Control (SPC) Objectives and Benefits

Lecture 305 6F-2 Common and Special Causes

Lecture 306 6F-3 Selection of Variable

Lecture 307 6F-4 Rational subgrouping

Lecture 308 6F-5 Selecting Control Charts

Lecture 309 6F-5 ImR or XmR Charts

Lecture 310 6F-5 X bar R Charts

Lecture 311 6F-5 X-bar s Charts

Lecture 312 6F-5 Attribute Control Charts - Introduction

Lecture 313 6F-5 nP Charts

Lecture 314 6F5 P Charts

Lecture 315 6F-5 C Charts

Lecture 316 6F-5 U Charts

Lecture 317 6F-6 Control Chart Analysis - Nelson Rules

Lecture 318 6F-6 Nelson Rules - Calculating Probabilities

Lecture 319 6F-7 Pre-control charts

Lecture 320 6F-8 Short- run SPC - Part 1 - Introduction and Difference Chart

Lecture 321 6F-8 Short- run SPC - Part 2 - Z-MR Chart

Lecture 322 6G Process Performance vs. Specifications

Lecture 323 6G Process Capability Indices - Part 1

Lecture 324 6G Process Capability Indices - Cr - Part 1A

Lecture 325 6G Process Capability Indices - Part 2

Lecture 326 6G Process Performance Indices

Lecture 327 6G Conducting Process Capability Studies

Lecture 328 6H Design and Analysis of Experiments (DoE) Introduction

Lecture 329 6H-1 Terminology - Factors and Response

Lecture 330 6H-1 Terminology - An Example of Lauching Branded Coffee

Lecture 331 6H-1 Terminology - Interaction Chart

Lecture 332 6H-1 Terminology - Contour Plot

Lecture 333 6H-1 Terminology - Mathematical Equation

Lecture 334 6H-2 Planning and organizing experiments

Lecture 335 6H-3 Introducing Interaction

Lecture 336 6H-3 DOE Equation with Interaction

Lecture 337 6H-3 Design of Experiments - Definitions

Lecture 338 6H-3 Three Factors Experiment

Lecture 339 6H-3 Half Factorial Design and Resolutions

Lecture 340 6H-3 DOE Nuisance Factors and Balanced Design

Lecture 341 6H-4 One-factor Experiments - Introduction

Lecture 342 6H-4 One-factor Experiments - Completely Randomized Experiments

Lecture 343 6H-4 One-factor Experiments -Randomized Block Design

Lecture 344 6H-4 One-factor Experiments - Latin and Graeco Latin Square Design

Lecture 345 6h-5 Full- factorial Experiments

Lecture 346 6H-6 Two-level Fractional Factorial Experiments - Introduction

Lecture 347 6H-6 Two-level Fractional Factorial Experiments - Number of Experiments

Lecture 348 6H-6 Two-level Fractional Factorial Experiments - Plackett Burman Design

Lecture 349 Section VI - Download Slides

Section 7: **** Section VII. Risk Management (15 Questions) ****

Lecture 350 7A Risk Related Definitions

Lecture 351 7A Planning for Risk Management

Lecture 352 7A Identifying Risks

Lecture 353 7B Risk Assessment

Lecture 354 7C Risk Control - Introduction

Lecture 355 7C Risk Control - Negative Risks

Lecture 356 7C Risk Control - Positive Risks

Lecture 357 7C Monitor and Control Risks

Lecture 358 Section VII - Download Slides

Section 8: Bonus Section

Lecture 359 Complete Course Slides

Lecture 360 Bonus Lecture

Quality Engineers preparing for the Quality Engineer Certification exam,This course is fully aligned with the Certified Quality Engineer Body of Knowledge provided by most internationally recognized certification bodies.