Course Name | Statistical Quality Control |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
---|---|---|---|---|---|
IE 334 | Spring | 2 | 2 | 3 | 7 |
Prerequisites |
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Course Language | English | |||||||||||
Course Type | Required | |||||||||||
Course Level | First Cycle | |||||||||||
Mode of Delivery | face to face | |||||||||||
Teaching Methods and Techniques of the Course | Problem SolvingApplication: Experiment / Laboratory / WorkshopLecture / Presentation | |||||||||||
Course Coordinator | ||||||||||||
Course Lecturer(s) | ||||||||||||
Assistant(s) | - |
Course Objectives | This course aims to provide knowledge in quality costs, basic concepts, tools and statistical techniques for quality control. |
Learning Outcomes | The students who succeeded in this course;
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Course Description | This course covers; quality costs and analysis, statistical methods (confidence intervals, hypothesis testing, analysis of variance), problem identification tools, control charts for variables and attributes, process capability analysis, measurement system analysis, statistical experimental design. |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | X | |
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Quality Concept and Quality Costs | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Chapter 1, 3-47 |
2 | Statistical Models for Data Characterization | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Chapter 3, 67-79 |
3 | Statistical Models for Data Characterization | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Chapter 3, 80-102 |
4 | Inferences About Process Quality | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Chapter 4, 117-150 |
5 | Statistical Basis of the Control Chart, Problem Identification Tools | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Chapter 5, 187-210 |
6 | Control Charts for Variables | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Chapter 6, 234-258 |
7 | Control Charts for Variables | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Chapter 6, 259-276 |
8 | Midterm Exam | |
9 | Control Charts for Attributes | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Chapter 7, 297-316 |
10 | Control Charts for Attributes | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Chapter 7, 317-339 7, 2 |
11 | Process Capability Analysis | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Chapter 8, 355-378 |
12 | Measurement System Analysis | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Chapter 8, 379-395 |
13 | Introduction to Statistical Experimental Design | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Chapter 13, 563-569 |
14 | Factorial Designs | Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Chapter 13, 570-590 |
15 | Review semester | |
16 | Final Exam |
Course Notes/Textbooks | Montgomery, D.C., Introduction to Statistical Quality Control-A Modern Introduction, Wiley, 7th Edition, 2013, ISBN: 9781118322574 |
Suggested Readings/Materials | Montgomery, D.C., Design and Analysis of Experiments, Wiley, 8th Edition, 2013, ISBN: 9781118097939. |
Semester Activities | Number | Weighting |
Participation | ||
Laboratory / Application | 1 | 20 |
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project | 1 | 15 |
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 1 | 25 |
Final Exam | 1 | 40 |
Total |
Weighting of Semester Activities on the Final Grade | 3 | 60 |
Weighting of End-of-Semester Activities on the Final Grade | 1 | 40 |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 2 | 32 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | 2 | |
Study Hours Out of Class | 14 | 4 | 56 |
Field Work | |||
Quizzes / Studio Critiques | |||
Portfolio | |||
Homework / Assignments | |||
Presentation / Jury | |||
Project | 1 | 25 | |
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 25 | |
Final Exams | 1 | 40 | |
Total | 210 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To have adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems. | X | ||||
2 | To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose. | X | ||||
3 | To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques. | |||||
4 | To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently. | X | ||||
5 | To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas. | X | ||||
6 | To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually. | |||||
7 | To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively; to be able to give and receive clear and comprehensible instructions | |||||
8 | To have knowledge about contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions. | |||||
9 | To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice. | |||||
10 | To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development. | |||||
11 | To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language. | |||||
12 | To be able to speak a second foreign at a medium level of fluency efficiently. | |||||
13 | To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Industrial Engineering. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest