IE545 TOTAL QUALITY MANAGEMENT
| Course Code: | 5680545 |
| 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 foundational principles and philosophies of total quality management (TQM).
- Describe the evolution of quality management, from classical TQM to modern approaches in digital and agile environments.
- Comprehend the integration of systems thinking, customer focus, design thinking, and data-driven decision-making in quality management framework.
- Demonstrate the strategic role of TQM in driving digital transformation, innovation, and organizational excellence.
- Know tools and methodologies for leading and implementing quality improvement initiatives across sectors within TQM context.
Course Content
Total quality concept. Total quality management decision. Customer focus. Quality organization. Team formation and problem solving. Policy deployment. Quality through planning. Design and control. Quality standards and award models. Real life applications and cases.
Course Learning Outcomes
- Explain the key philosophies and evolution of TQM and their application in manufacturing and service systems.
- Demonstrate the integration of TQM with systems thinking, design thinking, and digital transformation to enhance organizational performance.
- Comprehend basic TQM tools and frameworks to analyze and improve organizational processes.
- Evaluate the impact of digital technologies on quality monitoring, control, and continuous improvement.
- Understand the role of design thinking and robust quality approaches for developing customer-centric and innovative solutions.
- Assess organizational quality culture through the application of excellence models such as EFQM or the Baldrige framework.
- Demonstrate cross-functional quality improvement initiatives, considering principles of change management.
- Develop and communicate quality strategies that align with organizational goals and stakeholder expectations.
- Illustrate quality standards in both manufacturing and service systems.
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. | ✔ | |||