TÜRKÇE
ENGLISH
Information
| Code | ENM455 |
| Name | Simulation Modelling |
| Semester | 7. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. CENK ŞAHİN |
Course Goal
The aim of this course is to teach the simulation modelling and analysis technique as an approach to analyse the problems of industrial engineering. In this course it will be focused on the statistical analysis methods used in simulation modelling as well as the creation of simulation models in computer environment.
Course Content
Basic Simulation Concepts, Discrete Event Simulation and Modelling Structure, Selection of Probability Distributions, Hypothesis Tests, Random Number Generators and Generating Random Numbers from Distributions, Analyzing Simulation Softwares SIMAN Simulation Language and ARENA Model Development Environment, ARENA Examples and Applications, Validation Tests of Simulation Models, Output Analysis and Comparing Alternative Systems' Design, Variance Reduction Techniques
Course Precondition
No
Resources
Law, A.M. and Kelton, W.D. (2000) Simulation Modeling and Analysis
Notes
R. Erol, Simulation Lecture Notes, 2022.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learning basics of simulation |
| LO02 | Learning and interpreting descriptive statistics, histograms, box plots, scatter plots, p-p, q-q plots |
| LO03 | Learning data collection and techniques for distribution fitting |
| LO04 | Ability to analyze output |
| LO05 | Learning to use a Simulation package programs |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Have sufficient knowledge of mathematics, science and related engineering disciplines; can use the theoretical and applied knowledge in these fields in complex engineering problems. | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquire the ability to identify, define, formulate and solve complex Industrial Engineering problems; for this purpose, will have the ability to choose and apply appropriate analysis and modeling methods. | 5 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; can apply modern design methods for this purpose. | 5 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Develops modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications, and has the ability to use information technologies effectively. | 2 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Have the ability to design experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics. | 5 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Have the ability to work effectively in disciplinary and multi-disciplinary teams or individually. | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; have the ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Have the awareness of the necessity of lifelong learning; can follow the developments in science and technology and have the ability to constantly renew themselves. | 4 |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Acts in accordance with ethical principles, has knowledge about the standards used in engineering applications with the awareness of professional and ethical responsibility. | |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Gain knowledge of business practices such as project management, risk management and change management; become aware of entrepreneurship and innovation. | 3 |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Gains knowledge about the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering and has awareness of the legal consequences of engineering solutions. | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | They can benefit from the power of effective communication in their professional life and have the ability to interpret developments correctly. | 3 |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to design, develop, implement and improve integrated systems involving machine, time, information and money. | 4 |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to design, develop, implement and improve complex products, processes, businesses, systems by applying modern design methods, under realistic conditions and constraints such as cost, environment, sustainability, manufacturability, ethical, health, safety and political issues. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Basic Simulation Concepts | Reading lecture notes and references about the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Discrete Event Simulation and Modelling Structures | Reading lecture notes and references about the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 3 | Selection of Probability Distributions-I | Reading lecture notes and references about the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 4 | Selection of Probability Distributions-II | Reading lecture notes and references about the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 5 | Hypothesis Tests | Reading lecture notes and references about the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme |
| 6 | Random Number Generators and Generating Random Numbers from Distributions | Reading lecture notes and references about the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme |
| 7 | Analyzing Simulation Softwares: SIMAN-Simulation Language and ARENA-Model Development Environment | Reading lecture notes and references about the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Benzetim |
| 8 | Mid-Term Exam | Reading and going over lecture notes and references about the subject tough | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | ARENA Examples and Applications-I | Reading lecture notes and references about the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Deney / Laboratuvar, Problem Çözme |
| 10 | ARENA Examples and Applications-II | Reading lecture notes and references about the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Deney / Laboratuvar, Problem Çözme |
| 11 | ARENA Examples and Applications-III | Reading lecture notes and references about the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Deney / Laboratuvar, Problem Çözme |
| 12 | ARENA Examples and Applications-IV | Reading lecture notes and references about the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Deney / Laboratuvar, Problem Çözme |
| 13 | Validation Tests of Simulation Models | Reading lecture notes and references about the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Problem Çözme |
| 14 | Output Analysis and Comparing Alternative Systems Design | Reading lecture notes and references about the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 15 | Variance Reduction Techniques | Reading lecture notes and references about the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Problem Çözme |
| 16 | Term Exams | Reading and going over lecture notes and references about the subject tough | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Project Presantaitons | Project Presentations | Ölçme Yöntemleri: Proje / Tasarım |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 7 | 7 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 109 | ||
| Total Workload / 25 (h) | 4,36 | ||
| ECTS | 4 ECTS | ||