2026 Quality Management Engineer with Teacher Yang on YouTube
 |
Description
Book Introduction
1.
This study guide has been compiled with the essential theories required for the Quality Management Engineer exam, and includes easy-to-follow notes to help you memorize, guess, and easily answer frequently asked questions.
2.
It was composed by analyzing 20 years of exam trends using only quality management engineer questions.
If you actually check the 1st, 2nd, and 3rd exams from 2018 to 2024, you will see that about 15 questions of the same type were asked for each subject.
3.
Teacher Yang's Quality Management Engineer YouTube channel provides a full course on quality management engineer theory and problem solving in the form of video lectures, enabling anyone to "learn on their own."
Please refer to the list of video lectures provided by Cafe Yang Teacher's Quality Management Engineer.
4. And, to enable test takers to check their own skills, recent past exam questions and restored past exam questions are included in the appendix of Volume 2.
5.
In addition, Mr. Yang's Quality Management Engineer Cafe is doing its best to be a companion to test takers by providing Q&A on quality and mock exams.
This study guide has been compiled with the essential theories required for the Quality Management Engineer exam, and includes easy-to-follow notes to help you memorize, guess, and easily answer frequently asked questions.
2.
It was composed by analyzing 20 years of exam trends using only quality management engineer questions.
If you actually check the 1st, 2nd, and 3rd exams from 2018 to 2024, you will see that about 15 questions of the same type were asked for each subject.
3.
Teacher Yang's Quality Management Engineer YouTube channel provides a full course on quality management engineer theory and problem solving in the form of video lectures, enabling anyone to "learn on their own."
Please refer to the list of video lectures provided by Cafe Yang Teacher's Quality Management Engineer.
4. And, to enable test takers to check their own skills, recent past exam questions and restored past exam questions are included in the appendix of Volume 2.
5.
In addition, Mr. Yang's Quality Management Engineer Cafe is doing its best to be a companion to test takers by providing Q&A on quality and mock exams.
index
Volume 1 Theory Table of Contents
Part 1 Statistical Quality Control
Chapter 1: Probability and Probability Distributions 14
1.1 Parameters and Statistics 14
1.2 probability 20
1.3 Probability Distribution 27
Chapter 2: Tests and Estimation 39
2.1 Basic Theory of Tests and Estimation 39
2.2 Testing and Estimation of Single Populations 42
2.3 Testing and Estimating the Difference Between Two Populations 48
2.4 Coefficient Value Testing and Estimation 55
2.5 Goodness-of-fit test and identity test 62
Chapter 3: Correlation and Simple Regression 66
3.1 Correlation and Simple Regression 66
Chapter 4 Sampling Inspection 74
4.1 Inspection Overview 74
4.2 Sampling Methods and Sampling Error 79
4.3 Sampling and the OC Curve [Sample Lesson 5] 84
4.4 Sampling Inspection of Metric Values (KS Q 0001:2013) 87
4.5 Count Value Sampling Inspection 93
4.6 Sequential Sampling Inspection 101
Chapter 5 Control Chart 114
5.1 Process Monitoring and Control Chart Utilization 114
5.2 Control Chart for Quantitative Values 118
5.3 Count Value Control Chart [Management Lecture 4] 126
5.4 Control Chart Judgment and Process Interpretation 129
5.5 Performance and Mathematical Control Charts 134
Part 2: Experimental Design
Chapter 1: Concepts of Experimental Design 140
1.1 Concepts and Basic Principles of Experimental Design 140
1.2 Structural Model and Classification of Experimental Design 142
Chapter 2 Factorial Experiments 146
2.1 One-factor experiment 146
2.2 Two-factor experiment without repetition (parametric model) 153
2.3 The Law of Disaster [Lecture 8 of the Real World] 159
2.4 Two-Factor Experiment with Repetition [Real World Lecture 9] 161
2.5 Multifactorial Experiments [Practical Lecture 11] 168
Chapter 3: Various Experimental Design Methods 172
3.1 Contrast and Orthogonal Decomposition [Real Lecture 12] 172
3.2 Analysis and Interpretation of Coefficient Data [Practical Lecture 13] 175
3.3 Single-Partition Method [Practical Lesson 14] 178
3.4 Equity Experimental Method [Practical Lesson 15] 182
3.5 Latin Square and Greco-Latin Square [Practical Lesson 16] 184
Chapter 4: Factorial Experiments and Orthogonal Arrays 190
4.1 Factorial Experiment [Real World Lecture 17] 190
4.2 Interference Law and Partial Implementation Law 194
4.3 Orthogonal Array Table 200
4.4 Regression Analysis [Practical Lecture 22] 205
4.5 Taguchi Experimental Design [Practical Lecture 23] 207
Part 3 Reliability Management
Chapter 1: The Concept of Reliability 212
1.1 Basic Concepts of Reliability 212
1.2 Reliability Function 214
1.3 Reliability Life Distribution 216
1.4 Calculating the Reliability Scale 221
1.5 Maintainability 223
1.6 Availability 226
Chapter 2 Reliability Testing and Estimation 227
2.1 Failure rate curve 227
2.2 Reliability Data Analysis 228
2.3 Reliability Estimation Using Probability Diagrams [Trust, Lecture 8] 233
2.4 Accelerated Life Testing [Trust Lecture 9] 235
2.5 Reliability Sampling Techniques [Trust Lecture 10] 237
2.6 Interference Theory and Safety Factor [Trust Lecture 9] 241
Chapter 3 System Reliability 243
3.1 Reliability of serial coupling systems 243
3.2 Reliability of Parallel Combination Systems 244
3.3 Reliability of Other Connected Systems [Trust Lecture 12] 246
Chapter 4 Reliability Design and Management 248
4.1 Reliability Design [Trust Lecture 13] 248
4.2 Failure Analysis Using FMEA [Trust Lecture 14] 251
4.3 Fault Analysis by FTA [Trust Lecture 15] 253
4.4 Reliability Management 256
Part 4 Production System
Chapter 1: Production Strategy and Production System 258
1.1 The Concept of Production Systems [Production Lecture 1] 258
1.2 Production Type and Equipment Layout/Line Balancing 260
1.3 Supply Chain Management (SCM) [Production Lecture 3] 266
1.4 Production Strategy and Decision-Making Theory (Production Lecture 4) 269
1.5 ERP (Enterprise Resource Planning) and Production Information Management (Production Lecture 3) 272
1.6 Demand Forecast 274
1.7 Product Combination 277
Chapter 2 Materials Management Strategies 279
2.1 Materials Management and MRP (Material Requirements Planning) 279
2.2 Inventory Management 281
2.3 Outsourcing and Purchasing Management 283
2.4 Just-in-Time (JIT) Manufacturing System 285
Chapter 3: Establishing a Production Plan 287
3.1 Production Planning and Control 287
3.2 Work Priority Determination Method 289
3.3 Project Scheduling and PERT/CPM (Production Lecture 9) 291
Chapter 4 Standard Operation Management 295
4.1 Process Analysis and Task Analysis 295
4.2 Motion Analysis 298
4.3 Standard Time and Work Measurement 300
4.4 Productivity Management and Work Measurement 303
Chapter 5 Equipment Maintenance 307
5.1 Types of Equipment Maintenance 307
5.2 TPM (Total Productivity Management) 309
Part 5 Quality Management
Chapter 1: Quality Management and Quality Costs 314
1.1 The Concept of Quality Management (Pumkyung, Lecture 1) 314
1.2 Quality Strategy and Total Quality Management (Quality Management, Lecture 2) 318
1.3 Customer Satisfaction and Quality Management (Pumkyung, Lecture 3) 321
1.4 Quality Management System and Supplier Management (Quality Management Lecture 4) 325
1.5 Product Liability and Quality Assurance (Pumkyung, Lecture 5) 330
1.6 Training and Motivation (Pumkyung, Lesson 6) 332
1.7 Quality Management in the Service Industry (Pumkyung, Lecture 7) 335
1.8 Quality Costs (Lecture 8 on Quality) 336
Chapter 2 Industrial Standardization 339
2.1 Standardization and Standardization Elements (Pumkyung, Lecture 9) 339
2.2 Internal Standardization 344
2.3 Industrial Standardization and International Standardization 346
2.4 Quality Certification System (Quality Management Lecture 11) 350
Chapter 3: Six Sigma and Quality Innovation Activities 354
3.1 Tolerance and Process Capability Analysis (Quality Lecture 12) 354
3.2 Six Sigma Innovation Activities (Quality Management Lecture 13) 357
3.3 Inspection Equipment Management 359
3.4 Measurement System 361
Chapter 4: Quality Improvement? Innovation 364
4.1 Innovation and Improvement Activities (Pumkyung, Lecture 16) 364
4.2 Quality Control Methods 366
Appendix 373
Table of Contents for Volume 2 Problems
Part 1: Statistical Quality Control 9
Chapter 1: Probability and Probability Distributions 10
1.1 Parameters and Statistics [Common Lecture 101] 10
1.2 Probability [Common Lecture 102] 12
1.3 Probability Distribution 15
Chapter 2: Tests and Estimation 24
2.1 Basic Theory of Testing and Estimation [Common Lecture 105] 24
2.2 Single-Population Testing and Estimation [Common Lecture 106] 27
2.3 Test and Estimation of the Difference Between Two Populations [Common Lecture 107] 33
2.4 Coefficient Value Test and Estimation [Common Lecture 108] 38
2.5 Goodness-of-Fit Test and Identity Test [Common Lecture 109] 42
Chapter 3: Correlation and Simple Regression 47
3.1 Correlation and Simple Regression [Common Lecture 110] 47
Chapter 4 Sampling Inspection 53
4.1 Inspection Overview [Sample Lesson 111] 53
4.2 Sampling Methods and Sampling Error [Sample Lesson 112] 56
4.3 Sampling Inspection and the OC Curve [Sample Lecture 113] 61
4.4 Sampling Inspection of Quantitative Values [Sample Lesson 114] 66
4.5 Coefficient Sampling Inspection [Sample Lesson 115] 71
4.6-Axis Sampling Inspection [Sample Lesson 116] 77
Chapter 5 Control Chart 82
5.1 Process Monitoring and Use of Control Charts [Sample Lesson 117] 82
5.2 Control Charts for Measurement Values [Sample Lesson 118] 86
5.3 Coefficient Value Control Chart [Sample Lesson 119] 91
5.4 Control Chart Judgment and Process Interpretation [Sample Lesson 120] 96
5.5 Control Chart Performance and Math [Sample Lesson 121] 99
Part 2: Experimental Design 105
Chapter 1: Concepts of Experimental Design 106
1.1 Concepts and Basic Principles of Experimental Design [Practical Lecture 122] 106
1.2 Structural Model and Classification of Experimental Design 109
Chapter 2 Factorial Experiments 113
2.11 Factorial Experiment [Practical Lecture 123] 113
Interpreting Factorial Experiments 117
2.3 Two-Factor Experiments Without Repetition [Practical Lecture 124] 122
2.4 Disaster Prevention Method 125
Two-Factor Experiment with 2.5 Repetitions [Practical Lesson 125] 130
2.6 Overview of Multifactorial Experiments [Practical Lecture 126] 136
Chapter 3: Various Experimental Design Methods 142
3.1 Contrast and Orthogonal Decomposition [Real Lecture 127] 142
3.2 Analysis and Interpretation of Coefficient Data 145
3.3 Single-Partition Method [Practical Lesson 128] 150
3.4 Equity Experimental Method 154
3.5 Latin and Greco-Latin Squares [Practical Lesson 129] 158
Chapter 4: Factorial Experiments and Orthogonal Arrays 162
4.1 Factorial Experiment [Real World Lecture 130] 162
4.2 Intersection Law and Partial Implementation Law 165
4.32 Level Orthogonal Array Table [Practical Lesson 131] 171
4.43 Level Orthogonal Array Table 175
4.5 Regression Analysis [Real-World Lecture 132] 179
4.6 Taguchi Experimental Design Concepts [Practical Lecture 133] 183
4.7 Design of Taguchi Experimental Design 185
Part 3: Reliability Management 189
Chapter 1: Reliability Concepts and Measures 190
1.1 Basic Concepts of Trust [Trust Lecture 134] 190
1.2 Reliability Function 191
1.3 Reliability Life Distribution [Trust Lecture 135] 194
1.4 Calculating the Reliability Scale [Trust Lecture 136] 201
1.5 Maintainability [Trust Lecture 137] 205
1.6 Availability 209
Chapter 2 Reliability Testing and Estimation 212
2.1 Failure Rate Curve [Trust Lecture 138] 212
2.2 Reliability Data Analysis 215
2.3 Reliability Estimation Using Probability Diagrams [Trust Lecture 140] 223
2.4 Accelerated Life Test 225
2.5 Reliability Sampling Techniques [Reliability Lecture 141] 228
2.6 Interference Theory and Safety Factor 231
Chapter 3 System Reliability 233
3.1 Reliability of Series-Coupled Systems [Trust Lecture 142] 233
3.2 Reliability of Parallel-Coupled Systems 236
3.3 Reliability of Other Connected Systems [Trust Lecture 143] 239
Chapter 4 Reliability Design and Management 243
4.1 Reliability Design 243
Failure Analysis Using 4.2FMEA [Trust Lecture 144] 247
4.3 Fault Analysis by FTA 250
4.4 Reliability Management 254
Part 4: Production Systems 259
Chapter 1: Production Strategy and Production System 260
1.1 The Concept of Production Systems [Production Lecture 145] 260
1.2 Production Type and Equipment Layout 263
1.3 SCM (Supply Chain Management) 270
1.4 Production Strategy and Decision-Making Theory [Production Lecture 147] 271
1.5ERP and Production Information Management 274
Demand Forecasting [Production Lecture 148] 275
1.7 Product Combination 279
Chapter 2 Materials Management Strategies 281
2.1 Materials Management and MRP (Material Requirements Planning) [Production Lecture 149] 281
2.2 Just-in-Time (JIT) Manufacturing System [Production Lecture 150] 284
2.3 Outsourcing and Purchasing Management 287
2.4 Inventory Management [Production Lesson 151] 289
Chapter 3: Establishing a Production Plan 295
3.1 Production Planning and Control [Production Lesson 152] 295
3.2 Work Priority Determination Method 297
3.3 Project Schedule Management and PERT/CPM [Production Lecture 153] 300
Chapter 4 Standard Operation Management 307
4.1 Process Analysis and Work Analysis [Production Lecture 154] 307
4.2 Motion Analysis 311
4.3 Standard Time and Work Measurement [Production Lecture 155] 314
4.4 Work Measurement (Productivity Management and Evaluation) 318
Chapter 5 Equipment Maintenance 322
5.1 Types of Equipment Maintenance [Production Lecture 156] 322
5.2TPM (Comprehensive Facility Management) 325
Part 5 Quality Management 331
Chapter 1 Quality Management and Quality Costs 332
1.1 The Concept of Quality Management [Pumkyung Lecture 157] 332
1.2 Quality Strategy and Total Quality Management [Quality Management Lecture 158] 336
1.3 Customer Satisfaction and Quality Management [Pumkyung Lecture 159] 340
1.4 Quality Management System (QMS) [Pumkyung Lecture 160] 344
1.5 Product Liability and Quality Assurance [Pumkyung Lecture 161] 350
1.6 Training and Motivation 354
1.7 Quality Management in the Service Industry [Quality Management Lecture 162] 357
1.8 Quality Cost and COPQ 359
1.9 Quality Cost Measurement and Analysis 362
Chapter 2 Industrial Standardization 365
2.1 Standardization and Standardization Elements [Pumkyung Lecture 163] 365
2.2 Internal Standardization [Quality Lecture 164] 370
2.3 Industrial Standardization and International Standardization 373
2.4 Quality Certification System [Quality Management Lecture 165] 376
Chapter 3: Six Sigma and Quality Innovation Activities 380
3.1 Tolerance and Process Capability Analysis [Quality Lecture 166] 380
3.26 Sigma Innovation Activities [Pumkyung Lecture 167] 387
3.3 Inspection Equipment Management 390
3.4MSA (Measurement System) [Quality Lecture 168] 393
Chapter 4: Quality Improvement? Innovation 396
4.1 Innovation and Improvement Activities 396
4.2 Quality Control Techniques [Quality Management Lecture 169] 398
Appendix: Recent Exam Questions 405
2018 1st Exam Question 406
2018 2nd Exam Question 423
2018 4th Exam Question 440
2019 1st Exam Question 456
2019 Second Examination Question 472
2019 4th Exam Question 488
505 Past Questions from the 2020 1st and 2nd Integrated Exams
2020 3rd Exam Question 521
2020 4th Exam Question 538
2021 First Exam Question 556
2021 Second Exam Question 573
2021 4th Exam Question 589
2022 First Exam Question 605
2022 Second Exam Question 622
2023 1st Restoration Examination Question 638
2023 Second Restoration Examination Question 654
2023 4th Restoration Examination Question 671
2024 1st Restoration Examination Question 686
2024 Second Restoration Examination Question 703
2024 3rd Restoration Examination Question 719
2025 First Restoration Exam Questions..................................................................735
2025 Second Restoration Exam Questions..................................................................751
2025 Third Restoration Exam Questions..................................................................768
Part 1 Statistical Quality Control
Chapter 1: Probability and Probability Distributions 14
1.1 Parameters and Statistics 14
1.2 probability 20
1.3 Probability Distribution 27
Chapter 2: Tests and Estimation 39
2.1 Basic Theory of Tests and Estimation 39
2.2 Testing and Estimation of Single Populations 42
2.3 Testing and Estimating the Difference Between Two Populations 48
2.4 Coefficient Value Testing and Estimation 55
2.5 Goodness-of-fit test and identity test 62
Chapter 3: Correlation and Simple Regression 66
3.1 Correlation and Simple Regression 66
Chapter 4 Sampling Inspection 74
4.1 Inspection Overview 74
4.2 Sampling Methods and Sampling Error 79
4.3 Sampling and the OC Curve [Sample Lesson 5] 84
4.4 Sampling Inspection of Metric Values (KS Q 0001:2013) 87
4.5 Count Value Sampling Inspection 93
4.6 Sequential Sampling Inspection 101
Chapter 5 Control Chart 114
5.1 Process Monitoring and Control Chart Utilization 114
5.2 Control Chart for Quantitative Values 118
5.3 Count Value Control Chart [Management Lecture 4] 126
5.4 Control Chart Judgment and Process Interpretation 129
5.5 Performance and Mathematical Control Charts 134
Part 2: Experimental Design
Chapter 1: Concepts of Experimental Design 140
1.1 Concepts and Basic Principles of Experimental Design 140
1.2 Structural Model and Classification of Experimental Design 142
Chapter 2 Factorial Experiments 146
2.1 One-factor experiment 146
2.2 Two-factor experiment without repetition (parametric model) 153
2.3 The Law of Disaster [Lecture 8 of the Real World] 159
2.4 Two-Factor Experiment with Repetition [Real World Lecture 9] 161
2.5 Multifactorial Experiments [Practical Lecture 11] 168
Chapter 3: Various Experimental Design Methods 172
3.1 Contrast and Orthogonal Decomposition [Real Lecture 12] 172
3.2 Analysis and Interpretation of Coefficient Data [Practical Lecture 13] 175
3.3 Single-Partition Method [Practical Lesson 14] 178
3.4 Equity Experimental Method [Practical Lesson 15] 182
3.5 Latin Square and Greco-Latin Square [Practical Lesson 16] 184
Chapter 4: Factorial Experiments and Orthogonal Arrays 190
4.1 Factorial Experiment [Real World Lecture 17] 190
4.2 Interference Law and Partial Implementation Law 194
4.3 Orthogonal Array Table 200
4.4 Regression Analysis [Practical Lecture 22] 205
4.5 Taguchi Experimental Design [Practical Lecture 23] 207
Part 3 Reliability Management
Chapter 1: The Concept of Reliability 212
1.1 Basic Concepts of Reliability 212
1.2 Reliability Function 214
1.3 Reliability Life Distribution 216
1.4 Calculating the Reliability Scale 221
1.5 Maintainability 223
1.6 Availability 226
Chapter 2 Reliability Testing and Estimation 227
2.1 Failure rate curve 227
2.2 Reliability Data Analysis 228
2.3 Reliability Estimation Using Probability Diagrams [Trust, Lecture 8] 233
2.4 Accelerated Life Testing [Trust Lecture 9] 235
2.5 Reliability Sampling Techniques [Trust Lecture 10] 237
2.6 Interference Theory and Safety Factor [Trust Lecture 9] 241
Chapter 3 System Reliability 243
3.1 Reliability of serial coupling systems 243
3.2 Reliability of Parallel Combination Systems 244
3.3 Reliability of Other Connected Systems [Trust Lecture 12] 246
Chapter 4 Reliability Design and Management 248
4.1 Reliability Design [Trust Lecture 13] 248
4.2 Failure Analysis Using FMEA [Trust Lecture 14] 251
4.3 Fault Analysis by FTA [Trust Lecture 15] 253
4.4 Reliability Management 256
Part 4 Production System
Chapter 1: Production Strategy and Production System 258
1.1 The Concept of Production Systems [Production Lecture 1] 258
1.2 Production Type and Equipment Layout/Line Balancing 260
1.3 Supply Chain Management (SCM) [Production Lecture 3] 266
1.4 Production Strategy and Decision-Making Theory (Production Lecture 4) 269
1.5 ERP (Enterprise Resource Planning) and Production Information Management (Production Lecture 3) 272
1.6 Demand Forecast 274
1.7 Product Combination 277
Chapter 2 Materials Management Strategies 279
2.1 Materials Management and MRP (Material Requirements Planning) 279
2.2 Inventory Management 281
2.3 Outsourcing and Purchasing Management 283
2.4 Just-in-Time (JIT) Manufacturing System 285
Chapter 3: Establishing a Production Plan 287
3.1 Production Planning and Control 287
3.2 Work Priority Determination Method 289
3.3 Project Scheduling and PERT/CPM (Production Lecture 9) 291
Chapter 4 Standard Operation Management 295
4.1 Process Analysis and Task Analysis 295
4.2 Motion Analysis 298
4.3 Standard Time and Work Measurement 300
4.4 Productivity Management and Work Measurement 303
Chapter 5 Equipment Maintenance 307
5.1 Types of Equipment Maintenance 307
5.2 TPM (Total Productivity Management) 309
Part 5 Quality Management
Chapter 1: Quality Management and Quality Costs 314
1.1 The Concept of Quality Management (Pumkyung, Lecture 1) 314
1.2 Quality Strategy and Total Quality Management (Quality Management, Lecture 2) 318
1.3 Customer Satisfaction and Quality Management (Pumkyung, Lecture 3) 321
1.4 Quality Management System and Supplier Management (Quality Management Lecture 4) 325
1.5 Product Liability and Quality Assurance (Pumkyung, Lecture 5) 330
1.6 Training and Motivation (Pumkyung, Lesson 6) 332
1.7 Quality Management in the Service Industry (Pumkyung, Lecture 7) 335
1.8 Quality Costs (Lecture 8 on Quality) 336
Chapter 2 Industrial Standardization 339
2.1 Standardization and Standardization Elements (Pumkyung, Lecture 9) 339
2.2 Internal Standardization 344
2.3 Industrial Standardization and International Standardization 346
2.4 Quality Certification System (Quality Management Lecture 11) 350
Chapter 3: Six Sigma and Quality Innovation Activities 354
3.1 Tolerance and Process Capability Analysis (Quality Lecture 12) 354
3.2 Six Sigma Innovation Activities (Quality Management Lecture 13) 357
3.3 Inspection Equipment Management 359
3.4 Measurement System 361
Chapter 4: Quality Improvement? Innovation 364
4.1 Innovation and Improvement Activities (Pumkyung, Lecture 16) 364
4.2 Quality Control Methods 366
Appendix 373
Table of Contents for Volume 2 Problems
Part 1: Statistical Quality Control 9
Chapter 1: Probability and Probability Distributions 10
1.1 Parameters and Statistics [Common Lecture 101] 10
1.2 Probability [Common Lecture 102] 12
1.3 Probability Distribution 15
Chapter 2: Tests and Estimation 24
2.1 Basic Theory of Testing and Estimation [Common Lecture 105] 24
2.2 Single-Population Testing and Estimation [Common Lecture 106] 27
2.3 Test and Estimation of the Difference Between Two Populations [Common Lecture 107] 33
2.4 Coefficient Value Test and Estimation [Common Lecture 108] 38
2.5 Goodness-of-Fit Test and Identity Test [Common Lecture 109] 42
Chapter 3: Correlation and Simple Regression 47
3.1 Correlation and Simple Regression [Common Lecture 110] 47
Chapter 4 Sampling Inspection 53
4.1 Inspection Overview [Sample Lesson 111] 53
4.2 Sampling Methods and Sampling Error [Sample Lesson 112] 56
4.3 Sampling Inspection and the OC Curve [Sample Lecture 113] 61
4.4 Sampling Inspection of Quantitative Values [Sample Lesson 114] 66
4.5 Coefficient Sampling Inspection [Sample Lesson 115] 71
4.6-Axis Sampling Inspection [Sample Lesson 116] 77
Chapter 5 Control Chart 82
5.1 Process Monitoring and Use of Control Charts [Sample Lesson 117] 82
5.2 Control Charts for Measurement Values [Sample Lesson 118] 86
5.3 Coefficient Value Control Chart [Sample Lesson 119] 91
5.4 Control Chart Judgment and Process Interpretation [Sample Lesson 120] 96
5.5 Control Chart Performance and Math [Sample Lesson 121] 99
Part 2: Experimental Design 105
Chapter 1: Concepts of Experimental Design 106
1.1 Concepts and Basic Principles of Experimental Design [Practical Lecture 122] 106
1.2 Structural Model and Classification of Experimental Design 109
Chapter 2 Factorial Experiments 113
2.11 Factorial Experiment [Practical Lecture 123] 113
Interpreting Factorial Experiments 117
2.3 Two-Factor Experiments Without Repetition [Practical Lecture 124] 122
2.4 Disaster Prevention Method 125
Two-Factor Experiment with 2.5 Repetitions [Practical Lesson 125] 130
2.6 Overview of Multifactorial Experiments [Practical Lecture 126] 136
Chapter 3: Various Experimental Design Methods 142
3.1 Contrast and Orthogonal Decomposition [Real Lecture 127] 142
3.2 Analysis and Interpretation of Coefficient Data 145
3.3 Single-Partition Method [Practical Lesson 128] 150
3.4 Equity Experimental Method 154
3.5 Latin and Greco-Latin Squares [Practical Lesson 129] 158
Chapter 4: Factorial Experiments and Orthogonal Arrays 162
4.1 Factorial Experiment [Real World Lecture 130] 162
4.2 Intersection Law and Partial Implementation Law 165
4.32 Level Orthogonal Array Table [Practical Lesson 131] 171
4.43 Level Orthogonal Array Table 175
4.5 Regression Analysis [Real-World Lecture 132] 179
4.6 Taguchi Experimental Design Concepts [Practical Lecture 133] 183
4.7 Design of Taguchi Experimental Design 185
Part 3: Reliability Management 189
Chapter 1: Reliability Concepts and Measures 190
1.1 Basic Concepts of Trust [Trust Lecture 134] 190
1.2 Reliability Function 191
1.3 Reliability Life Distribution [Trust Lecture 135] 194
1.4 Calculating the Reliability Scale [Trust Lecture 136] 201
1.5 Maintainability [Trust Lecture 137] 205
1.6 Availability 209
Chapter 2 Reliability Testing and Estimation 212
2.1 Failure Rate Curve [Trust Lecture 138] 212
2.2 Reliability Data Analysis 215
2.3 Reliability Estimation Using Probability Diagrams [Trust Lecture 140] 223
2.4 Accelerated Life Test 225
2.5 Reliability Sampling Techniques [Reliability Lecture 141] 228
2.6 Interference Theory and Safety Factor 231
Chapter 3 System Reliability 233
3.1 Reliability of Series-Coupled Systems [Trust Lecture 142] 233
3.2 Reliability of Parallel-Coupled Systems 236
3.3 Reliability of Other Connected Systems [Trust Lecture 143] 239
Chapter 4 Reliability Design and Management 243
4.1 Reliability Design 243
Failure Analysis Using 4.2FMEA [Trust Lecture 144] 247
4.3 Fault Analysis by FTA 250
4.4 Reliability Management 254
Part 4: Production Systems 259
Chapter 1: Production Strategy and Production System 260
1.1 The Concept of Production Systems [Production Lecture 145] 260
1.2 Production Type and Equipment Layout 263
1.3 SCM (Supply Chain Management) 270
1.4 Production Strategy and Decision-Making Theory [Production Lecture 147] 271
1.5ERP and Production Information Management 274
Demand Forecasting [Production Lecture 148] 275
1.7 Product Combination 279
Chapter 2 Materials Management Strategies 281
2.1 Materials Management and MRP (Material Requirements Planning) [Production Lecture 149] 281
2.2 Just-in-Time (JIT) Manufacturing System [Production Lecture 150] 284
2.3 Outsourcing and Purchasing Management 287
2.4 Inventory Management [Production Lesson 151] 289
Chapter 3: Establishing a Production Plan 295
3.1 Production Planning and Control [Production Lesson 152] 295
3.2 Work Priority Determination Method 297
3.3 Project Schedule Management and PERT/CPM [Production Lecture 153] 300
Chapter 4 Standard Operation Management 307
4.1 Process Analysis and Work Analysis [Production Lecture 154] 307
4.2 Motion Analysis 311
4.3 Standard Time and Work Measurement [Production Lecture 155] 314
4.4 Work Measurement (Productivity Management and Evaluation) 318
Chapter 5 Equipment Maintenance 322
5.1 Types of Equipment Maintenance [Production Lecture 156] 322
5.2TPM (Comprehensive Facility Management) 325
Part 5 Quality Management 331
Chapter 1 Quality Management and Quality Costs 332
1.1 The Concept of Quality Management [Pumkyung Lecture 157] 332
1.2 Quality Strategy and Total Quality Management [Quality Management Lecture 158] 336
1.3 Customer Satisfaction and Quality Management [Pumkyung Lecture 159] 340
1.4 Quality Management System (QMS) [Pumkyung Lecture 160] 344
1.5 Product Liability and Quality Assurance [Pumkyung Lecture 161] 350
1.6 Training and Motivation 354
1.7 Quality Management in the Service Industry [Quality Management Lecture 162] 357
1.8 Quality Cost and COPQ 359
1.9 Quality Cost Measurement and Analysis 362
Chapter 2 Industrial Standardization 365
2.1 Standardization and Standardization Elements [Pumkyung Lecture 163] 365
2.2 Internal Standardization [Quality Lecture 164] 370
2.3 Industrial Standardization and International Standardization 373
2.4 Quality Certification System [Quality Management Lecture 165] 376
Chapter 3: Six Sigma and Quality Innovation Activities 380
3.1 Tolerance and Process Capability Analysis [Quality Lecture 166] 380
3.26 Sigma Innovation Activities [Pumkyung Lecture 167] 387
3.3 Inspection Equipment Management 390
3.4MSA (Measurement System) [Quality Lecture 168] 393
Chapter 4: Quality Improvement? Innovation 396
4.1 Innovation and Improvement Activities 396
4.2 Quality Control Techniques [Quality Management Lecture 169] 398
Appendix: Recent Exam Questions 405
2018 1st Exam Question 406
2018 2nd Exam Question 423
2018 4th Exam Question 440
2019 1st Exam Question 456
2019 Second Examination Question 472
2019 4th Exam Question 488
505 Past Questions from the 2020 1st and 2nd Integrated Exams
2020 3rd Exam Question 521
2020 4th Exam Question 538
2021 First Exam Question 556
2021 Second Exam Question 573
2021 4th Exam Question 589
2022 First Exam Question 605
2022 Second Exam Question 622
2023 1st Restoration Examination Question 638
2023 Second Restoration Examination Question 654
2023 4th Restoration Examination Question 671
2024 1st Restoration Examination Question 686
2024 Second Restoration Examination Question 703
2024 3rd Restoration Examination Question 719
2025 First Restoration Exam Questions..................................................................735
2025 Second Restoration Exam Questions..................................................................751
2025 Third Restoration Exam Questions..................................................................768
GOODS SPECIFICS
- Date of issue: January 9, 2026
- Page count, weight, size: 1,188 pages | 190*260*60mm
- ISBN13: 9791191569452
- ISBN10: 1191569454
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