Faculty of Engineering and Natural Sciences · Industrial Engineering (English 30%) · Undergraduate
Course Objective
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IV. To teach the control charts used for variables and attributes during quality control
Course Content
This course covers the fundamental methods of quality engineering. Quality excellence models, cost models, quality audit programs, quality information systems will be discussed. Examples of actual case studies from industry will supplement the lectures.
Required Resources
Course notes
Montgomery, Jennings and Pfund, “Managing, Controlling, and Improving Quality”, John Wiley & Sons, Inc., 2011
Recommended Resources
1- Gerald M. Smith, “Statistical Process Control and Quality Improvement” Fifth Ed. Prentice Hall, 2004. 2- J.A. Swift, “Introduction To Modern Statistical Quality Control and Management” St. Lucie Press. 3- M.G. Leitnaker, R.D. Sanders, Child, “The Power of Statistical Thinking – Improving Industrial Processes”, Addison-Wesley Publishing Comp. 4- A.V. Feigenbaum, “Total Quality Control”, McGraw Hill Inc. 5- David L. GOETSCH, Stanley DAVIS, “Quality Management for Organizational Excellence, introduction to total quality”. 6- Prof.Dr. İrfan ÇAĞLAR, Yrd. Doç. Dr. Sabiha KILIÇ, “Kalite Güvence Standartları”. 7- Orhan KÜÇÜK, “Toplam Kalite Yönetimi”. 8- Muhittin ŞİMŞEK, “Toplam Kalite Yönetimi”. 9- Muhsin HALİS, “Toplam Kalite Yönetimi & İSO 9000 Kalite Yönetim Sistemleri”. 10- Mesiha SAAT ERSOY, “Kalite Yönetimi”. 11- ASQ Web site: www.asq.org 12- TQM Journal |
Rules
70% attendance is mandatory.
Midterm and final exams will be held face-to-face in classrooms.
Course Learning Outcomes
- Understands the definitions of basic concepts related to quality and quality management and the historical development process of quality in engineering applications.
- Understands the relationships between quality and management processes.
- Summarizes quality data using statistical tools and techniques and makes inferences.
- Selects appropriate quality tools and techniques for engineering applications; prepares control charts for quality monitoring and improvement and interprets them.
Core Area Distribution
Teaching Methods
Assessment & Evaluation
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 14 | 3 | 42 |
| Out of Class Study Period | 14 | 3 | 42 |
| Midterm | 1 | 10 | 10 |
| Quiz | 0 | 0 | 0 |
| Assignment | 0 | 0 | 0 |
| Practice | 1 | 10 | 10 |
| Final | 1 | 15 | 15 |
Course Schedule
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