Simulation Applications
Industrial Engineering
Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Simulation Applications | MEN542 | Elective | Master's degree | 1 | Spring | 8 |
Name of Lecturer(s)
Assistant Prof. Dr. Celal ÖZKALE
Learning Outcomes of the Course Unit
1) Handle a design or operating problem in the system, collect and analyze the input data.
2) Build the simulation model of a system with a software and analyze the system.
3) Verify, test, analyze and run the simulation model in a scientific way.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||
| 1 | 2 | 3 | 4 | 5 | ||
| Learning Outcomes | ||||||
| 1 | High | High | Middle | Low | Low | |
| 2 | High | High | Middle | Low | Low | |
| 3 | Middle | High | Low | Low | Low | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
This course covers; simulation concept, system simulation, simulation models, discrete event simulation, random number generation, random variables and probability distributions generation, output analysis, simulation language supports.
Weekly Schedule
1) Definition and Use Areas of Simulation2) System, System Model Types, System Complexity, Systems Approach, System Analysis Techniques, Simulation Models
3) Types of Simulation: Static, Dynamic, Stochastic, Deterministic, Discrete-event, Continuous and Mixed (Continuous and Discrete) Simulation Models
4) Random Number Generation, Probability Distributions, Discrete-event Simulation
5) Monte Carlo and Quasi Monte Carlo Simulation Techniques, Manual Simulation and Simulation Softwares
6) Simulation with Promodel Software and Two Case Studies ( Manufacturing and Service System Cases)
7) Midterm Examination
8) Midterm Examination/Assessment
9) Model Building with Promodel Software
10) Model Verification and Validation
11) Simulation Output Analysis: Determining Number of Replications and Warm-up Periods, Determination of Run Length
12) Comparison of Systems: Welch Confidence Interval, Paired-t Confidence Interval, Bonferroni Approach, Factorial Design, Variance Reduction Techniques and Optimization
13) Modelling Manufacturing Systems
14) Modelling Material Handling and Storage Systems
15) Modelling Service Systems
16) Final Examination
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Discussion
3) Demonstration
4) Group Study
5) Problem Solving
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
70% |
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Contribution of Final Examination to Course Grade |
30% |
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Total | 100% | ||||||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required