IE429 TOPICS IN PRODUCTION PLANNING
| Course Code: | 5680429 |
| 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. MERAL AZİZOĞLU |
| Offered Semester: | Fall or Spring Semesters. |
Course Objectives
- At the end of the course, the students will
- Understand basics of automated manufacturing sytems.
- Be able to model the automated manufacturing system design problem that have Markovian property.
- Conduct experimental analysis for automated manufacturing systems.
- Learn the necessary tools to analyze and plan the automated manufacturing systems.
Course Content
Automated manufacturing and production management in automated manufacturing. Performance issues and stochastic modeling of automated manufacturing. Factory dynamics in production lines.
Course Learning Outcomes
- List required equiment and hardware for a given process flow
- Describe the required integration for a given automated machining cell
- State basic trade-offs in a flow line design problem
- Analyze throughput rate for a given flow line with markovian property
- Design a flow line with available equipment alternatives and required throughput rate
- Analyze the reliability of a flow line using failure rates and properties of machines
- Conduct computational experiments to test the performance of a given flow line
- Statistical analysis of the output of computational experiments
- Apply queueing theory to analyze automated flow line performance
- Use markov chain models to evaluate reliability of an automated flow line
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 | ✔ | |||