IE372 SIMULATION
| Course Code: | 5680372 |
| 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: | Assist.Prof.Dr NADER GHAFFARINASAB |
| Offered Semester: | Spring Semesters. |
Course Objectives
At the end of the course, the students will be able to
1. understand basics of the stochastic, dynamic, discrete event simulation modeling.
2. use a simulation software package (ARENA built upon the simulation language SIMAN) to construct stochastic, dynamic, discrete event simulation models for manufacturing and service systems.
3. apply basic statistical techniques to determine the input probability distributions and to analyze the simulation output.
Course Content
Discrete event simulation methodology and model building. Modeling with a simulation language. Selecting input probability distributions. Random number and random variate generation. Statistical analysis of the simulation output. Basic issues in the design, verification and validation of simulation models.
Course Learning Outcomes
At the end of the course the students will be able to:
1.1. identify basic simulation elements such as entities, events, input parameters, state variables, and performance measures.
1.2. perform hand simulation for simple systems.
2.1. develop basic simulation models and collect output statistics using a simulation software package.
2.2. use a variety of simulation software package constructs to model the flow through more complex systems.
3.1. apply statistical tools and hypothesis testing to determine the input probability distributions.
3.2. analyze the simulation output using statistical estimation techniques, design and conduct experiments to create and evaluate alternative system configurations.
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 | ✔ | |||