2026 Quality Management Industrial Engineer with Teacher Yang on YouTube
 |
Description
Book Introduction
The features of the revised Yang Teacher's Quality Management Industrial Engineer are as follows.
1.
The first volume of the theory book is composed of only the essential content that meets the quality management industry engineer exam standards, and the entire book is provided as a YouTube lecture and a 'summary of key points' so that you can learn while understanding the content.
And the 'Basic Building' section of the text is presented at the level of a practical exam, so you can establish a framework for learning by unit.
And, next to the theory, we added 'Notes for Easy Solution' to explain tips that test takers must memorize or memorize, as well as key incorrect and correct answers.
2.
This two-volume collection of past exam questions is composed of questions from past exams for the Quality Management Industrial Engineer exam, covering a period of 20 years, from the first exam in 2005 to the third exam in 2025.
Of course, the problems are arranged in order according to the progress of the theory, not by year, so that studying for the exams can be done naturally during the learning process.
In conclusion, I can confidently say that if you solve the previous exam questions twice in a row, you will be able to take the exam knowing more than 80% of the exam questions for any subject.
Additionally, all past questions and terms have been revised to conform to current relevant laws and regulations, and corrected to the format used in recent exams.
3.
As an appendix to Volume 2, a total of 25 mock exams are presented, including questions from the past five years and questions from the past four years.
By solving this problem, you can diagnose your current weaknesses and improve them.
However, it is true that there are still difficulties in studying alone.
So, I've linked the content of this textbook to the theory lectures provided on YouTube, and I'm also providing online lectures centered around key summaries and past exam questions for each unit.
And, due to the nature of the test book, we will provide quick feedback and continuous updates on any errors that may occur through Naver Cafe Yang Teacher's Quality Management Industrial Engineer, and additional mock exams will be provided through the cafe for each exam.
1.
The first volume of the theory book is composed of only the essential content that meets the quality management industry engineer exam standards, and the entire book is provided as a YouTube lecture and a 'summary of key points' so that you can learn while understanding the content.
And the 'Basic Building' section of the text is presented at the level of a practical exam, so you can establish a framework for learning by unit.
And, next to the theory, we added 'Notes for Easy Solution' to explain tips that test takers must memorize or memorize, as well as key incorrect and correct answers.
2.
This two-volume collection of past exam questions is composed of questions from past exams for the Quality Management Industrial Engineer exam, covering a period of 20 years, from the first exam in 2005 to the third exam in 2025.
Of course, the problems are arranged in order according to the progress of the theory, not by year, so that studying for the exams can be done naturally during the learning process.
In conclusion, I can confidently say that if you solve the previous exam questions twice in a row, you will be able to take the exam knowing more than 80% of the exam questions for any subject.
Additionally, all past questions and terms have been revised to conform to current relevant laws and regulations, and corrected to the format used in recent exams.
3.
As an appendix to Volume 2, a total of 25 mock exams are presented, including questions from the past five years and questions from the past four years.
By solving this problem, you can diagnose your current weaknesses and improve them.
However, it is true that there are still difficulties in studying alone.
So, I've linked the content of this textbook to the theory lectures provided on YouTube, and I'm also providing online lectures centered around key summaries and past exam questions for each unit.
And, due to the nature of the test book, we will provide quick feedback and continuous updates on any errors that may occur through Naver Cafe Yang Teacher's Quality Management Industrial Engineer, and additional mock exams will be provided through the cafe for each exam.
index
Volume 1 (Theory) Table of Contents
Part 1 Statistical Quality Control
- Chapter 1 I Probability and Probability Distributions.
12
1.1 Basic data organization 12
1.2 Overview of probability and random variables.
18
1.3 Basics of discrete random variables.
25
1.4 Basics of continuous random variables.
29
- Chapter 2 Verification and Estimation.
37
2.1 Basic theory of testing and estimation.
37
2.2 Test and estimation of a single population (population mean).
40
2.3 Testing and estimation of a single population (population variance).
44
2.4 Test and estimation of the difference between two populations (population variance).
46
2.5 Coefficient Value Testing and Estimation 52
- Chapter 3 I Correlation Analysis 60
3.1 Correlation Analysis 60
- Chapter 4 _ Sampling Inspection.
66
4.1 Inspection Overview.
66
4.2 Sampling methods and theory.
71
4.3 Probability of a lot passing and the 0C curve.
76
4.4 Sampling inspection of quantitative values.
80
4.5 Count value sampling inspection.
86
4.6 Sequential sampling inspection.
94
- Chapter 5 Management Chart.
98
5.1 Overview of control charts.
98
5.2 Control chart of metric values.
102
5.3 Count value control chart.
108
5.4 Control Chart Judgment and Process Interpretation 111
Part 2: Experimental Design
- Chapter 1: Concepts of Experimental Design 122
1.1 Concepts and Basic Principles of Experimental Design 122
1.2 Structural model and classification of experimental design.
124
- Chapter 2, Factorial Experiment 127
2.1 Constant-repetition parametric model 1 factorial experiment 127
2.2 Non-constant repetitions of a parametric model 1 factorial experiment 133
2.3 One-factor experiment of the variable factor.
135
- Chapter 3 Two-factor experiment.
137
3.1 Two-factor experiment without repetition.
137
3.2 Orphanage Law 143
3.3 Two-factor experiment with repetition.
146
3.4 Sum of squares and contribution rate.
150
- Chapter 4 Various Experimental Design Methods 152
4.1 Analysis and Interpretation of Coefficient Data 152
4.2 Latin Square 154
4.3 Orthogonal array table.
158
4.4 Regression Analysis 162
Part 3 Production System
- Chapter 1 Production System.
168
1.1 The Concept of Production Systems 168
1.2 Types of Production Systems 170
1.3 Plant layout 172
1.4 Line Balancing 174
1.5 ERP (Enterprise Resource Planning) and Production Information Management 176
1.6 Demand Forecasting.
180
- Chapter 2 Materials Management 183
2.1 Outsourcing and Purchasing Management 183
2.2 Materials Management and MRP (Material Requirements Planning).
184
2.3 Inventory Management 186
2.4 Just-in-time manufacturing system (JIT).
189
- Chapter 3 I Schedule Management 191
3.1 Production planning and control.
191
3.2 Method for determining task priority 193
3.3 PERT/CPM 195
- Chapter 4 Work Management 199
4.1 Process Analysis 199
4.2 Motion Analysis 202
4.3 Definition and composition of standard time 204
4.4 Standard Time Measurement Techniques 207
- Chapter 5 Equipment Maintenance.
211
5.1 Types and Organization of Equipment Maintenance 211
5.2 Overall facility efficiency.
215
Part 4 Quality Management
- Chapter 1 Quality Management Overview.
220
1.1 The Concept of Quality Management 220
1.2 Quality management and customer satisfaction.
226
1.3 Quality Organization and Operation 231
1.4 ISO 9001 Quality Management System 231
1.5 Quality Management System.
235
1.6 Product Liability 240
1.7 Training and motivation.
242
1.8 Quality Cost Overview.
246
- Chapter 2 Standardization.
249
2.1 Standardization Concept 249
2.2 International standardization.
252
2.3 Industrial standardization and KS certification system.
253
2.4 In-house standardization activities.
256
2.5 Standardization elements.
258
- Chapter 3 Process Capability and Quality Innovation Activities.
261
3.1 Overview of inspection equipment management.
261
3.2 Specifications and tolerances.
266
3.3 Process Capability Analysis 267
3.4 Six Sigma innovation activities.
269
3.5 Improvement activities.
271
3.5 QC 7 tools.
273
3.6 New QC 7 Tools.
276
- Appendix I: Examination score table.
279
Volume 2 (Problems) Table of Contents
Part 1 Statistical Quality Control
- Chapter 1 Data and Basic Probability Distributions 8
1.1 Basic Data Organization 8
1.2 Fundamentals of Probability and Probability Distributions 12
1.3 Basics of Discrete Probability Distributions 15
1.4 Basics of Continuous Probability Distributions 18
- Chapter 2 Verification and Estimation 23
2.1 Basic Theory of Tests and Estimation 23
2.2 Testing and Estimating Single Population (Population Mean) 26
2.3 Testing and Estimating Single Population Variance (Population Variance)30
2.4 Testing and Estimating the Difference Between Two Populations 34
2.5 Coefficient Value Testing and Estimation 35
- Chapter 3 Correlation Analysis 39
3.1 Correlation Analysis 39
- Chapter 4 Sampling Inspection 44
4.1 Inspection Overview 44
4.2 Sampling Methods and Theory 47
4.3 Probability of a lot passing and OC curve 50
4.4 Sampling inspection of quantitative values 55
4.5 Count Value Sampling Inspection 59
4.6 Sequential Sampling Inspection 63
- Chapter 5 Control Chart 65
5.1 Overview of Control Charts 65
5.2 Control Chart 67
5.3 Control Chart for Measurement Values 71
5.4 P, nP control chart 75
5.5 c, u control chart 78
5.6 Control Chart Judgment and Process Interpretation 80
Part 2: Experimental Design
- Chapter 1: Concepts of Experimental Design 86
1.1 Concepts and Basic Principles of Experimental Design 86
1.2 Structural Model and Classification of Experimental Design 88
- Chapter 2, Factorial Experiments 92
2.1 Constant-repetition parametric model 1 factorial experiment 92
2.2 Interpretation of a Factorial Experiment with a Parametric Model with Constant Repetition 96
2.3 1-factorial experiment with non-uniform parametric model repetition 99
2.4 One-factor experiment in a variance model 107
- Chapter 3 Two-Factor Experiment 111
3.1 Two-Factor Experiment with a Parametric Model Without Repetition 111
3.2 Interpretation of a Two-Factor Experiment with a Parametric Model Without Replication 115
3.3 The Law of Disaster 118
3.4 Parametric Two-Factor Experiment with Repetition 123
3.5 Interpreting a Two-Factor Parametric Experiment with Repetition 127
3.6 Analysis of Variance with Missing Values 130
3.7 Net sum of squares and contribution ratio 133
- Chapter 4 Various Experimental Design Methods 136
4.1 Analysis and Interpretation of Coefficient Data 136
4.2 Latin Square 139
4.3 Orthogonal Array Table 146
4.4 Simple Regression Analysis 154
Part 3 Production System
- Chapter 1 Production System 162
1.1 The Concept of Production Systems 162
1.2 Types of Production Systems 163
1.3 Plant Layout 167
1.4 Line Balancing 170
1.5 ERP and Production Information Management 173
1.6 Demand Forecast 174
- Chapter 2 Materials Management 178
2.1 Outsourcing and Purchasing Management 178
2.2 Materials Management and MRP 179
2.3 Inventory Management 183
3.4 Just-in-Time (JIT) Manufacturing System 187
- Chapter 3 Schedule Management 192
3.1 Production Plan 192
3.2 Production Control 194
3.3 Method for determining task priority 195
3.4 PERT-CPM 199
- Chapter 4 Work Management 205
4.1 Process Analysis 205
4.2 Work Analysis 207
4.3 Motion Analysis 209
4.4 Definition and composition of standard time 212
4.5 Standard Time Measurement Techniques 215
- Chapter 5 Equipment Maintenance 219
5.1 Types and Organization of Equipment Maintenance 219
5.2 Overall facility efficiency 222
Part 4 Quality Management
- Chapter 1 Quality Management Overview 228
1.1 The Concept of Quality Management 228
1.2 Quality Management and Customer Satisfaction 233
1.3 Quality Organization and Operation 239
1.4 ISO 9001 Quality Management System 242
1.5 Quality Assurance System 247
1.6 Product Liability 252
1.7 Training and Motivation 257
1.8 Quality Cost Overview 258
- Chapter 2 Standardization 261
2.1 Standardization Concept 261
2.2 International Standardization 263
2.3 Industrial Standardization and KS Certification System 264
2.4 In-house standardization activities 266
2.5 Standardization Elements 270
- Chapter 3: Process Capability and Quality Innovation Activities 274
3.1 Overview of Inspection Equipment Management 274
3.2 Specifications and Tolerances 277
3.3 Process Capability Analysis 280
3.4 Six Sigma and Quality Innovation Activities 285
3.5 Improvement Activities 288
3.6 QC 7 Tools 290
3.7 New QC 7 Tools 293
Appendix: Past Questions
First implementation in 2016 (March 6) 298
2nd implementation in 2016 (August 8) 310
2016 4th Implementation (October 1) 322
First implementation in 2017 (March 10) 334
2nd implementation in 2017 (May 28) 345
2017 4th Implementation (September 15) 357
First implementation in 2018 (March 10) 369
2nd implementation in 2018 (May 2) 382
4th Implementation in 2018 (September 15) 394
First implementation in 2019 (March 3) 406
2nd Implementation in 2019 (April 27) 418
4th Implementation in 2019 (September 21) 430
1.2nd Implementation in 2020 (April 25) 442
3rd Implementation in 2020 (August 22) 454
2022 Restoration 1st Exam Question 463
2022 Restoration Exam 2nd Exam Question 476
2022 Restoration Exam 3rd Exam Question 489
2023 Restoration 1st Exam Question 502
2023 Restoration Exam 2nd Exam Question 514
2023 Restoration Exam 3rd Exam Question 526
2024 Restoration 1st Exam Question 540
2024 Restoration Exam 2nd Exam Question 553
2024 Restoration 3rd Exam Question 566
2025 Restoration 1st Exam Question 579
2025 Restoration 2nd Exam Question 591
2025 Restoration 3rd Exam Question 603
Part 1 Statistical Quality Control
- Chapter 1 I Probability and Probability Distributions.
12
1.1 Basic data organization 12
1.2 Overview of probability and random variables.
18
1.3 Basics of discrete random variables.
25
1.4 Basics of continuous random variables.
29
- Chapter 2 Verification and Estimation.
37
2.1 Basic theory of testing and estimation.
37
2.2 Test and estimation of a single population (population mean).
40
2.3 Testing and estimation of a single population (population variance).
44
2.4 Test and estimation of the difference between two populations (population variance).
46
2.5 Coefficient Value Testing and Estimation 52
- Chapter 3 I Correlation Analysis 60
3.1 Correlation Analysis 60
- Chapter 4 _ Sampling Inspection.
66
4.1 Inspection Overview.
66
4.2 Sampling methods and theory.
71
4.3 Probability of a lot passing and the 0C curve.
76
4.4 Sampling inspection of quantitative values.
80
4.5 Count value sampling inspection.
86
4.6 Sequential sampling inspection.
94
- Chapter 5 Management Chart.
98
5.1 Overview of control charts.
98
5.2 Control chart of metric values.
102
5.3 Count value control chart.
108
5.4 Control Chart Judgment and Process Interpretation 111
Part 2: Experimental Design
- Chapter 1: Concepts of Experimental Design 122
1.1 Concepts and Basic Principles of Experimental Design 122
1.2 Structural model and classification of experimental design.
124
- Chapter 2, Factorial Experiment 127
2.1 Constant-repetition parametric model 1 factorial experiment 127
2.2 Non-constant repetitions of a parametric model 1 factorial experiment 133
2.3 One-factor experiment of the variable factor.
135
- Chapter 3 Two-factor experiment.
137
3.1 Two-factor experiment without repetition.
137
3.2 Orphanage Law 143
3.3 Two-factor experiment with repetition.
146
3.4 Sum of squares and contribution rate.
150
- Chapter 4 Various Experimental Design Methods 152
4.1 Analysis and Interpretation of Coefficient Data 152
4.2 Latin Square 154
4.3 Orthogonal array table.
158
4.4 Regression Analysis 162
Part 3 Production System
- Chapter 1 Production System.
168
1.1 The Concept of Production Systems 168
1.2 Types of Production Systems 170
1.3 Plant layout 172
1.4 Line Balancing 174
1.5 ERP (Enterprise Resource Planning) and Production Information Management 176
1.6 Demand Forecasting.
180
- Chapter 2 Materials Management 183
2.1 Outsourcing and Purchasing Management 183
2.2 Materials Management and MRP (Material Requirements Planning).
184
2.3 Inventory Management 186
2.4 Just-in-time manufacturing system (JIT).
189
- Chapter 3 I Schedule Management 191
3.1 Production planning and control.
191
3.2 Method for determining task priority 193
3.3 PERT/CPM 195
- Chapter 4 Work Management 199
4.1 Process Analysis 199
4.2 Motion Analysis 202
4.3 Definition and composition of standard time 204
4.4 Standard Time Measurement Techniques 207
- Chapter 5 Equipment Maintenance.
211
5.1 Types and Organization of Equipment Maintenance 211
5.2 Overall facility efficiency.
215
Part 4 Quality Management
- Chapter 1 Quality Management Overview.
220
1.1 The Concept of Quality Management 220
1.2 Quality management and customer satisfaction.
226
1.3 Quality Organization and Operation 231
1.4 ISO 9001 Quality Management System 231
1.5 Quality Management System.
235
1.6 Product Liability 240
1.7 Training and motivation.
242
1.8 Quality Cost Overview.
246
- Chapter 2 Standardization.
249
2.1 Standardization Concept 249
2.2 International standardization.
252
2.3 Industrial standardization and KS certification system.
253
2.4 In-house standardization activities.
256
2.5 Standardization elements.
258
- Chapter 3 Process Capability and Quality Innovation Activities.
261
3.1 Overview of inspection equipment management.
261
3.2 Specifications and tolerances.
266
3.3 Process Capability Analysis 267
3.4 Six Sigma innovation activities.
269
3.5 Improvement activities.
271
3.5 QC 7 tools.
273
3.6 New QC 7 Tools.
276
- Appendix I: Examination score table.
279
Volume 2 (Problems) Table of Contents
Part 1 Statistical Quality Control
- Chapter 1 Data and Basic Probability Distributions 8
1.1 Basic Data Organization 8
1.2 Fundamentals of Probability and Probability Distributions 12
1.3 Basics of Discrete Probability Distributions 15
1.4 Basics of Continuous Probability Distributions 18
- Chapter 2 Verification and Estimation 23
2.1 Basic Theory of Tests and Estimation 23
2.2 Testing and Estimating Single Population (Population Mean) 26
2.3 Testing and Estimating Single Population Variance (Population Variance)30
2.4 Testing and Estimating the Difference Between Two Populations 34
2.5 Coefficient Value Testing and Estimation 35
- Chapter 3 Correlation Analysis 39
3.1 Correlation Analysis 39
- Chapter 4 Sampling Inspection 44
4.1 Inspection Overview 44
4.2 Sampling Methods and Theory 47
4.3 Probability of a lot passing and OC curve 50
4.4 Sampling inspection of quantitative values 55
4.5 Count Value Sampling Inspection 59
4.6 Sequential Sampling Inspection 63
- Chapter 5 Control Chart 65
5.1 Overview of Control Charts 65
5.2 Control Chart 67
5.3 Control Chart for Measurement Values 71
5.4 P, nP control chart 75
5.5 c, u control chart 78
5.6 Control Chart Judgment and Process Interpretation 80
Part 2: Experimental Design
- Chapter 1: Concepts of Experimental Design 86
1.1 Concepts and Basic Principles of Experimental Design 86
1.2 Structural Model and Classification of Experimental Design 88
- Chapter 2, Factorial Experiments 92
2.1 Constant-repetition parametric model 1 factorial experiment 92
2.2 Interpretation of a Factorial Experiment with a Parametric Model with Constant Repetition 96
2.3 1-factorial experiment with non-uniform parametric model repetition 99
2.4 One-factor experiment in a variance model 107
- Chapter 3 Two-Factor Experiment 111
3.1 Two-Factor Experiment with a Parametric Model Without Repetition 111
3.2 Interpretation of a Two-Factor Experiment with a Parametric Model Without Replication 115
3.3 The Law of Disaster 118
3.4 Parametric Two-Factor Experiment with Repetition 123
3.5 Interpreting a Two-Factor Parametric Experiment with Repetition 127
3.6 Analysis of Variance with Missing Values 130
3.7 Net sum of squares and contribution ratio 133
- Chapter 4 Various Experimental Design Methods 136
4.1 Analysis and Interpretation of Coefficient Data 136
4.2 Latin Square 139
4.3 Orthogonal Array Table 146
4.4 Simple Regression Analysis 154
Part 3 Production System
- Chapter 1 Production System 162
1.1 The Concept of Production Systems 162
1.2 Types of Production Systems 163
1.3 Plant Layout 167
1.4 Line Balancing 170
1.5 ERP and Production Information Management 173
1.6 Demand Forecast 174
- Chapter 2 Materials Management 178
2.1 Outsourcing and Purchasing Management 178
2.2 Materials Management and MRP 179
2.3 Inventory Management 183
3.4 Just-in-Time (JIT) Manufacturing System 187
- Chapter 3 Schedule Management 192
3.1 Production Plan 192
3.2 Production Control 194
3.3 Method for determining task priority 195
3.4 PERT-CPM 199
- Chapter 4 Work Management 205
4.1 Process Analysis 205
4.2 Work Analysis 207
4.3 Motion Analysis 209
4.4 Definition and composition of standard time 212
4.5 Standard Time Measurement Techniques 215
- Chapter 5 Equipment Maintenance 219
5.1 Types and Organization of Equipment Maintenance 219
5.2 Overall facility efficiency 222
Part 4 Quality Management
- Chapter 1 Quality Management Overview 228
1.1 The Concept of Quality Management 228
1.2 Quality Management and Customer Satisfaction 233
1.3 Quality Organization and Operation 239
1.4 ISO 9001 Quality Management System 242
1.5 Quality Assurance System 247
1.6 Product Liability 252
1.7 Training and Motivation 257
1.8 Quality Cost Overview 258
- Chapter 2 Standardization 261
2.1 Standardization Concept 261
2.2 International Standardization 263
2.3 Industrial Standardization and KS Certification System 264
2.4 In-house standardization activities 266
2.5 Standardization Elements 270
- Chapter 3: Process Capability and Quality Innovation Activities 274
3.1 Overview of Inspection Equipment Management 274
3.2 Specifications and Tolerances 277
3.3 Process Capability Analysis 280
3.4 Six Sigma and Quality Innovation Activities 285
3.5 Improvement Activities 288
3.6 QC 7 Tools 290
3.7 New QC 7 Tools 293
Appendix: Past Questions
First implementation in 2016 (March 6) 298
2nd implementation in 2016 (August 8) 310
2016 4th Implementation (October 1) 322
First implementation in 2017 (March 10) 334
2nd implementation in 2017 (May 28) 345
2017 4th Implementation (September 15) 357
First implementation in 2018 (March 10) 369
2nd implementation in 2018 (May 2) 382
4th Implementation in 2018 (September 15) 394
First implementation in 2019 (March 3) 406
2nd Implementation in 2019 (April 27) 418
4th Implementation in 2019 (September 21) 430
1.2nd Implementation in 2020 (April 25) 442
3rd Implementation in 2020 (August 22) 454
2022 Restoration 1st Exam Question 463
2022 Restoration Exam 2nd Exam Question 476
2022 Restoration Exam 3rd Exam Question 489
2023 Restoration 1st Exam Question 502
2023 Restoration Exam 2nd Exam Question 514
2023 Restoration Exam 3rd Exam Question 526
2024 Restoration 1st Exam Question 540
2024 Restoration Exam 2nd Exam Question 553
2024 Restoration 3rd Exam Question 566
2025 Restoration 1st Exam Question 579
2025 Restoration 2nd Exam Question 591
2025 Restoration 3rd Exam Question 603
GOODS SPECIFICS
- Date of issue: January 14, 2026
- Page count, weight, size: 880 pages | 190*260*40mm
- ISBN13: 9791191569469
- ISBN10: 1191569462
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