ENM455 Simulation Modelling

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

Information

Code ENM455
Name Simulation Modelling
Term 2022-2023 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
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. CENK ŞAHİN
Course Instructor Prof. Dr. CENK ŞAHİN (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 basics of simulation
LO02 Learning statistical analysis methods using in simulation
LO03 Learning data collection and techniques for distribution fitting
LO04 Learning creating simulation models in computer environment
LO05 Manage to do validation tests of simulation models
LO06 Output analysis and compare alternative systems
LO07 Learning using simulation package programs
LO08 Random numbers and learning the techniques of generating random numbers


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

Update Time: 19.11.2022 04:24