DEPARTMENT OF INDUSTRIAL ENGINEERING (ENGLISH)
Qualification Awarded	Program Süresi	Toplam Kredi (AKTS)	Öğretim Şekli	Yeterliliğin Düzeyi ve Öğrenme Alanı
Bachelor's (First Cycle) Degree	4	240	FULL TIME	TYÇ, TR-NQF-HE, EQF-LLL, ISCED (2011):Level 6 QF-EHEA:First Cycle TR-NQF-HE, ISCED (1997-2013): 44,52

Ders Genel Tanıtım Bilgileri

Course Code:

1411311013

Ders İsmi:

Systems Simulation

Ders Yarıyılı:

Fall

Ders Kredileri:

Theoretical	Practical	Labs	Credit	ECTS
3	0	0	3	6

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Other Recommended Topics for the Course:

None

Type of course:

Necessary

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi Elif TARAKÇI

Course Lecturer(s):

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:

To explain various simulation solution models to engineer candidates so that they can develop solutions for business problems that cannot be solved analytically, and to enable them to apply simulation models.

Course Content:

Models and Classification of Models / Simulation and Analog Models / Properties of Simulation Models / Time Flow Mechanism in Simulation / Specific and Random Simulation / Derivation of Random Values in Random Numbers / Discrete System Simulation and Examples / Discrete System Simulation Languages SIMAN, ARENA Programs and Examples / Accuracy of Simulation Models and Validation/Analysis of Simulation Outputs

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
1) The student can apply the basic principles of simulation studies.
2) Students will be able to construct and interpret simulation models for different systems, with theoretical knowledge of subjects such as collection and analysis of input data, model validation and validation testing, statistical analysis of model outputs.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) The student can recognize and solve simple and complex simulation models using Microsoft EXCEL and its plug-ins, SIMAN simulation language and ARENA simulation package program.
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	Course introduction	text book
2)	Basic Concepts Related to Simulation and Modeling: Definition of Simulation, Advantages and Disadvantages of Simulation, Application Areas, System and System Environment, Elements of the System, Discrete and Continuous Systems, Model Concept, Classification of Models, Classification of Simulation Models, Concept of Continuous and Discrete Simulation, Simulation Study	text book
3)	Fundamentals of Simulation and Monte Carlo Simulation in MS Excel: Fundamentals of Simulation in MS Excel, Structure of Simulation Sheet in MS Excel, Monte Carlo Simulation	text book
4)	Fundamentals of Simulation in MS Excel and Monte Carlo Simulation: Examples of Simulation in MS Excel: Coin Flip, Random Service Time, Random Interarrival Time, Demand Forecast	text book
5)	Discrete Event System Simulation and Manual Simulation: Coin Flip Game Simulation, Queuing Systems Simulation, Queuing Simulation in MS Excel, Fundamentals of Manual Simulation	text book
6)	Inventory Systems Simulation: Inventory Systems Simulation, Inventory Simulation in MS Excel, Newspaper Seller Simulation, (M,N) Inventory System Simulation Statistical Terminology and Review of Distributions: Discrete random variables, Continuous random variables, Cumulative distribution function, Expected Value, Some important Discrete distributions, Some important continuous distributions, Empirical distributions	text book
7)	Use of Statistical Distributions and Models in Simulation Statistical Knowledge in Simulation Studies, Input Analysis: 1) Data Collection, 2) Determination of Probability Distributions, Histogram, Uses of Distributions, Important Features of the Poisson Process	text book
8)	midterm	text book
9)	Validation and Validation of Simulation Models: Definitions of Model Validation and Model Validity, Validation of Simulation Models, Steps and Methods to be Used to Test the Validity of Simulation Models	text book
10)	Validation and Validation of Simulation Models: Definitions of Model Validation and Model Validity, Validation of Simulation Models, Steps and Methods to be Used to Test the Validity of Simulation Models	text book
11)	Output Analysis: Output Data Analysis for a Single System	text book
12)	Simulation Languages and Package Programs: History of Simulation Software, General Introductions of Simulation Package Programs ARENA Simulation Package Program: Introduction of ARENA Simulation Package Program, Introduction of Simple Modules and Simple Simulation Models	text book
13)	ARENA Simulation Package Program: Arena Input Analysis, Simulation Model Examples, Animation Examples	text book
14)	ARENA Simulation Package Program: Introduction of Advanced Modules, Simulation of a Production System with ARENA, Analysis of Outputs	text book
15)	ARENA Simulation Package Program: Introduction of Advanced Modules, Simulation of a Production System with ARENA, Analysis of Outputs	text book
16)	final	text book

Sources

Course Notes / Textbooks:	Ders Kitabı
References:	Discrete-Event System Simulation”, Fifth Edition Jerry Banks, John S. Carson, Barry L. Nelson, David M. Nicol Pearson International Edition, 2010 ISBN-13: 978 – 0 – 13 – 815037 – 2 Simulation with ARENA”, Fifth Edition W. David Kelton, Randall P. Sadowski, Nancy B. Sweets McGraw Hill International Edition, 2010 ISBN 978 – 007 – 126771 – 7 Lecture Notes

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	2	3
Program Outcomes
1) Engineering Knowledge: Knowledge in mathematics, science, basic engineering, computer computing.
2) Engineering Knowledge: Knowledge in subjects specific to the discipline of industrial engineering.
3) Engineering Knowledge: Ability to use this knowledge in solving complex engineering problems.
4) Problem Analysis: Ability to define, formulate and analyze complex engineering problems using basic science, mathematics and engineering knowledge and considering the UN Sustainable Development Goals*
5) Engineering Design: Ability to design creative solutions to complex engineering problems.
6) Engineering Design: Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions*.
7) Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while being aware of their limitations.
8) Research and Review: Ability to conduct literature research for the investigation of complex engineering problems.
9) Research and Review: Ability to design experiments for the investigation of complex engineering problems.
10) Research and Review: Ability to conduct experiments for the investigation of complex engineering problems.
11) Research and Investigation: Ability to collect data to investigate complex engineering problems.
12) Research and Review: Ability to analyze and interpret results for the investigation of complex engineering problems.
13) Research and Review: Ability to use research methods for the investigation of complex engineering problems.
14) Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability and the environment within the scope of the UN Sustainable
15) Global Impact of Engineering Practices: Awareness of the legal implications of engineering solutions.
16) Ethical Behavior: Acting in accordance with the principles of the engineering profession*, knowledge of ethical responsibility.
17) Ethical Behavior: Awareness of being impartial, non-discriminatory and inclusive of diversity.
18) Individual and Teamwork: Ability to work individually (face-to-face, remotely or mixed).
19) Individual and Teamwork: Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remotely or mixed).
20) Individual and Teamwork: Ability to work effectively as a team member or leader in multi-disciplinary teams (face-to-face, remotely or mixed).
21) Oral and Written Communication: Ability to communicate effectively in technical matters, both verbally and in writing, taking into account the various differences of the target audience (such as education, language,profession).
22) Project Management: Knowledge of business practices such as project management and economic feasibility analysis.
23) Project Management: Awareness of entrepreneurship and innovation.
24) Lifelong Learning: Lifelong learning skills that include independent and continuous learning, adapting to new and developing technologies, and questioning thinking about technological changes.

Ders - Öğrenme Kazanımı İlişkisi

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Engineering Knowledge: Knowledge in mathematics, science, basic engineering, computer computing.
2)	Engineering Knowledge: Knowledge in subjects specific to the discipline of industrial engineering.
3)	Engineering Knowledge: Ability to use this knowledge in solving complex engineering problems.
4)	Problem Analysis: Ability to define, formulate and analyze complex engineering problems using basic science, mathematics and engineering knowledge and considering the UN Sustainable Development Goals*
5)	Engineering Design: Ability to design creative solutions to complex engineering problems.
6)	Engineering Design: Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions*.
7)	Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while being aware of their limitations.
8)	Research and Review: Ability to conduct literature research for the investigation of complex engineering problems.
9)	Research and Review: Ability to design experiments for the investigation of complex engineering problems.
10)	Research and Review: Ability to conduct experiments for the investigation of complex engineering problems.
11)	Research and Investigation: Ability to collect data to investigate complex engineering problems.
12)	Research and Review: Ability to analyze and interpret results for the investigation of complex engineering problems.
13)	Research and Review: Ability to use research methods for the investigation of complex engineering problems.
14)	Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability and the environment within the scope of the UN Sustainable
15)	Global Impact of Engineering Practices: Awareness of the legal implications of engineering solutions.
16)	Ethical Behavior: Acting in accordance with the principles of the engineering profession*, knowledge of ethical responsibility.
17)	Ethical Behavior: Awareness of being impartial, non-discriminatory and inclusive of diversity.
18)	Individual and Teamwork: Ability to work individually (face-to-face, remotely or mixed).
19)	Individual and Teamwork: Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remotely or mixed).
20)	Individual and Teamwork: Ability to work effectively as a team member or leader in multi-disciplinary teams (face-to-face, remotely or mixed).
21)	Oral and Written Communication: Ability to communicate effectively in technical matters, both verbally and in writing, taking into account the various differences of the target audience (such as education, language,profession).
22)	Project Management: Knowledge of business practices such as project management and economic feasibility analysis.
23)	Project Management: Awareness of entrepreneurship and innovation.
24)	Lifelong Learning: Lifelong learning skills that include independent and continuous learning, adapting to new and developing technologies, and questioning thinking about technological changes.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Anlatım
Bireysel çalışma ve ödevi
Course

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	1	% 30
Midterms	1	% 30
Semester Final Exam	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	2	28
Laboratory	14	2	28
Application	14	2	28
Study Hours Out of Class	14	4	56
Homework Assignments	5	6	30
Midterms	1	2	2
Final	1	3	3
Total Workload			175