IE522 PRODUCTION PLANNING AND SCHEDULING
| Course Code: | 5680522 |
| 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: | Prof.Dr. MERAL AZİZOĞLU |
| Offered Semester: | Fall or Spring Semesters. |
Course Objectives
At the end of the course the students will:
1. be able to comprehend the basics of aggregate planning and lot sizing
2. become familiar with the fundamental concepts of lot sizing, formulate the related problems, and learn methods used to solve them
3. become familiar with the fundamental concepts of scheduling in manufacturing systems, formulate the related problems, and learn methods used to solve them
4. become familiar with the fundamental concepts of scheduling in service systems, formulate the related problems, and learn methods used to solve them
Course Content
Analysis of some specific problem areas within the context of planning and scheduling of production activities. Definition, formulation and available solution procedures for aggregate planning, lot sizing. Scheduling in manufacturing systems, scheduling in service systems, design and operation of scheduling systems.
Course Learning Outcomes
- Describe the basic concepts of production planning
- Understand the basic concepts of lot sizing
- Identify the differences between continuous and periodic review models
- Identify the differences between finite and infinite planning horizon models
- Identify the differences between static and dynamic models
- Identify the differences between single item and multi item models
- Describe the basic concepts of scheduling
- Understand the concept of computational complexity
- Identify differences between scheduling in manufacturing systems and service systems
- Build scheduling models for manufacturing systems
- Build scheduling models for service systems
- Identify the general purpose solution algorithms for scheduling problems
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. | ✔ | |||