ENM455 Simulation Modelling

4 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
INDUSTRIAL ENGINEERING PR.
Code ENM455
Name Simulation Modelling
Term 2025-2026 Academic Year
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
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. CENK ŞAHİN
Course Instructor
The current term course schedule has not been prepared yet. Previous term groups and teaching staff are shown.
Prof. Dr. CENK ŞAHİN (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

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 the basics of simulation and the concept of randomness
LO02 Learning and interpreting descriptive statistics, histograms, plots like box plots, scatter plots, p-p, q-q plots.
LO03 Learning Important Theoretical Distributions and Goodness of Fit Tests
LO04 Ability to analyze output
LO05 Learning to use a Simulation package program


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Acquires sufficient knowledge in mathematics, science and Industrial Engineering discipline-specific subjects; acquires the ability to use theoretical and applied knowledge in these fields in complex engineering problems. 3
PLO02 Bilgi - Kuramsal, Olgusal Acquires the ability to identify, define, formulate and analytically solve complex Industrial Engineering problems; and has the ability to select and apply appropriate analysis and modelling methods for this purpose. 4
PLO03 Bilgi - Kuramsal, Olgusal Acquires the ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; acquires the ability to apply modern design methods for this purpose. 4
PLO04 Bilgi - Kuramsal, Olgusal Acquires the ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Industrial Engineering applications and acquires the ability to use information technologies effectively. 2
PLO05 Bilgi - Kuramsal, Olgusal Acquire the skills to design and conduct experiments, collect data, analyze and interpret results to investigate complex Industrial Engineering problems or discipline-specific research topics. 4
PLO06 Bilgi - Kuramsal, Olgusal Have the ability to work effectively in disciplinary and multi-disciplinary teams or individually. 3
PLO07 Beceriler - Bilişsel, Uygulamalı Ability to communicate effectively in Turkish, both verbally and in writing; knowledge of at least one foreign language; ability to write and understand effective reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
PLO08 Beceriler - Bilişsel, Uygulamalı They have awareness of the necessity of lifelong learning; they have the ability to access information, follow developments in science and technology, and constantly renew themselves.
PLO09 Yetkinlikler - Öğrenme Yetkinliği Acting in accordance with ethical principles, becoming knowledgeable about the standards used in engineering practices with awareness of professional and ethical responsibility.
PLO10 Yetkinlikler - Öğrenme Yetkinliği Learn about business practices such as project management, risk management and change management, and is aware of entrepreneurship and innovation.
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Informed about the universal and societal impacts of engineering practices on health, environment and safety, and the contemporary problems reflected in the field of engineering, and is aware of the legal consequences of engineering solutions.
PLO12 Yetkinlikler - Öğrenme Yetkinliği Benefit from the power of effective communication in professional life and has the ability to interpret developments correctly.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Have the ability to design, develop, implement and improve integrated systems that include machines, people, time, information or money. 4
PLO14 Yetkinlikler - Öğrenme Yetkinliği By applying modern design methods, they have the ability to design, develop, implement and improve complex products, processes, businesses and systems under realistic conditions and constraints such as cost, environment, sustainable development, energy, manufacturability, ethics, 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 Reading lecture notes and references about the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap
15 Comparing Alternative Systems Design 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


Assessment (Exam) Methods and Criteria

Current term shares have not yet been determined. Shares of the previous term are shown.
Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 50 20
1. Project / Design 50 20
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


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

Update Time: 06.05.2025 11:32