IE542 QUALITY ENGINEERING
| Course Code: | 5680542 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Industrial Engineering |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | Assist.Prof.Dr ŞAKİR KARAKAYA |
| Offered Semester: | Fall or Spring Semesters. |
Course Objectives
By the end of the course the students will be able to:
- Understand the foundational principles and methodologies of quality engineering in the context of product and process design.
- Demonstrate systems thinking in new product and process development through quality-by-design principles.
- Use techniques for identifying critical quality characteristics and translating customer needs into measurable engineering specifications.
- Know an integrated framework combining quality improvement tools and design methods for systematic product development.
Course Content
Introduction to Quality Engineering. Parameter design by Taguchi design of experiment, Taguchi's Loss Function. Tolerance design and tolerancing. Online feedback quality control. Online process parameter control.(R)
Course Learning Outcomes
- Explain the core principles of quality engineering and the strategic role of quality in product and process design.
- Identify product roadmaps and their roles in strategic product development and quality planning.
- Differentiate between reactive and proactive quality methodologies.
- Translate customer needs into measurable engineering characteristics.
- Be able to use quality-oriented design tools for product development process.
- Design and conduct experiments to identify and optimize key design parameters.
- Communicate quality analysis results and design recommendations in technical reports and presentations.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | Specialize with advanced knowledge in selected areas of Industrial Engineering; such as Production and Operations Management, Supply Chain Management, Business Analytics and Information Systems, Decision Sciences and Operational Research, Quality Management, Human Factors and Ergonomics, and Strategy and Industrial Economics. | ✔ | |||
| 2 | Have advanced ability to formulate and solve industrial engineering problems. | ✔ | |||
| 3 | Be able to systematically acquire new scientific knowledge to design and improve socio-technical systems. | ✔ | |||
| 4 | Be able to conduct scientific research in industrial engineering. | ✔ | |||
| 5 | Be able to apply critical reasoning in their professional careers. | ✔ | |||
| 6 | Appreciate the academics ethics. | ✔ | |||