IE368 QUALITY PLANNING AND CONTROL
| Course Code: | 5680368 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Industrial Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. GÜLSER KÖKSAL |
| Offered Semester: | Fall Semesters. |
Course Objectives
At the end of the course, the students will
1. have an understanding of basic concepts and methods of total quality management, quality planning and control.
2. be able to select the most appropriate basic quality planning and control method.
3. gain experience in collecting data, analyzing results and making decisions for quality improvement in a personal computer assisted environment.
Course Content
Quality of products/services and quality characteristics. Concepts of quality of design and quality of conformance. Quality costs. Total quality management and quality standards. On-line and off-line quality control activities. Statistical process control. Control charts. Capability analysis. Measurement system analysis. Acceptance sampling. Six sigma programs. Development and design of quality products and processes. Basic reliability concepts and approaches.
Course Learning Outcomes
At the end of the course, the students will
1.1. demonstrate basic understanding of total quality and its management approaches, evolution of quality management over time.
1.2. demonstrate basic understanding of quality planning and control activities in the life cycle of a product or a service.
2.1. understand differences among six sigma, lean six sigma, design for six sigma and other quality planning and control approaches.
2.2. choose the most appropriate tool/methods for statistical process control, process capability analysis, gauge capability analysis and lot sentencing, and justify the use of them.
3.1. develop an effective product or service plan that use voice of customer and deploys it to quality characteristics and describe how quality can be controlled at product development stages.
3.2. design statistical experiments for improving product/process designs.
3.3. collect data for quality control activities such as process monitoring, process capability diagnosis, gauge capability diagnosis, lot sentencing and product/process design.
3.4. analyze data collected for stability, capability, mean, variability, robustness, make quality improvement decision based on the results, and verify the results.
3.5. make effective use of statistical software such as MS Excel and Minitab to support analysis of quality data and quality planning and control decisions.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||
| 8 | An ability to design, analyze, operate, and improve integrated systems that produce and/or supply products and/or services in an effective, efficient, sustainable, and socially responsible manner | ✔ | |||
| 9 | An ability to apply critical reason and systems thinking in problem solving and systems design | ✔ | |||
| 10 | An ability to use scientific methods and tools (such as mathematical models, statistical methods and techniques) necessary for industrial engineering practice | ✔ | |||