IND304 SimulationInstitutional InformationDegree Programs Industrial Engineering(English)Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Industrial Engineering(English)

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Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course General Introduction Information

Course Code: IND304
Course Name: Simulation
Course Semester: Spring
Course Credits:
ECTS
5
Language of instruction:
Course Requirement:
Does the Course Require Work Experience?: No
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 : Ar.Gör. FATMANUR GÖÇER
Course Lecturer(s): Prof. Dr. Şükrü Alp BARAY
Course Assistants:

Course Purpose and Content

Course Objectives: The purpose of this course is to introduce students to the simulation method and to teach them to create computer models of discrete event systems and use these models to make decisions about real systems. For this purpose, students will learn the simulation method through courses and projects.
Course Content: This course includes the following topics: Introduction to simulation, simulation examples, general principles, simulation software, statistical models in simulation, queuing models, random number generation, random variable generation, input modeling, verification and validation of simulation models, output analysis and production for a single model. Simulation of material conveying systems. In order to enhance the learning experience, each student group will be assigned a topic related to an industrial application of the simulation method as a term project. Additionally, ARENA Simulation Package will be taught and used in the project.

Learning Outcomes

The students who have succeeded in this course;
1) Understand and explain the broad applicability of simulation to industrial engineering problems.
2) Defining the input and output variables of a given system.
3) Designing and building simulation models of industrial systems with the ARENA program.
4) Evaluating a business system by conducting simulation analysis and developing management reports.

Course Flow Plan

Week Subject Related Preparation
1) Lesson Overview, Introduction to Simulation Lecture Notes
2) Simulation Examples Lecture Notes
3) General Principles Lecture Notes
4) Simulation Software, ARENA Lecture Notes
5) Statistical Models in Simulation, ARENA Lecture Notes
6) Statistical Models in Simulation, ARENA Lecture Notes
7) Queue Models Lecture Notes
8) Midterm -
9) Queue Models Lecture Notes
10) Random Number Generation, Random Variable Value Generation, Input Modeling, ARENA Lecture Notes
11) Input Modeling, ARENA, Simio Lecture Notes
12) Verification and Validation of Simulation Models, ARENA, Simio Lecture Notes
13) Output Analysis for a Single Model, ARENA, Simio Lecture Notes
14) Repetition of course topics with examples -
15) Final -

Sources

Course Notes / Textbooks: Simulation, Sheldon Ross, 5th Edition, ISBN: 978-0-12-415825-2, Academic Press, 2013.

Simulation Modeling and Analysis with ARENA, Tayfur Altiok, Benjamin Melamed, ISBN: 978-0-12-370523-5, Academic Press, 2007.
References: Discrete-Event System Simulation, Jerry Banks, John Carson, Barry L. Nelson, David Nicol, 5th International Edition, ISBN: 9781292024370, Prentice Hall, 2014.

Simulation with ARENA, W. David Kelton, Randall P. Sadowski, David T. Sturrock, 6th International Edition, ISBN: 9781259254369, McGraw-Hill, 2015.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science, and related engineering discipline; ability to use theoretical and practical knowledge in these areas in complex engineering problems. 2
2) An ability to detect, identify, formulate, and solve complex engineering problems; the ability to select and apply appropriate analysis and modelling methods for this purpose. 3
3) An ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose. 1
4) An ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems in engineering applications. 2
5) An ability to use information technologies effectively. 1
6) Ability to design, conduct experiments, collect data, analyse, and interpret results to investigate complex engineering problems or discipline-specific research topics. 2
7) Ability to work effectively in disciplinary and multidisciplinary teams; ability to work individually. 3
8) Ability to communicate effectively in oral and written Turkish. 2
9) Knowledge of at least one foreign language. 1
10) Ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instructions. 3
11) Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology and ability to renew themselves. 2

Learning Activity and Teaching Methods

Alan Çalışması
Akran Değerlendirmesi
Anlatım
Beyin fırtınası /Altı şapka
Bireysel çalışma ve ödevi
Course
Grup çalışması ve ödevi
Labs
Okuma
Homework
Problem Çözme
Proje Hazırlama
Rapor Yazma
Rol oynama
Seminar
Soru cevap/ Tartışma
Sosyal Faaliyet
Teknik gezi
Tez Hazırlama
Uygulama (Modelleme, Tasarım, Maket, Simülasyon, Deney vs.)
Örnek olay çalışması
Web Tabanlı Öğrenme
Staj/Yerinde Uygulama

Measurement and Evaluation Methods and Criteria

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Sözlü sınav
Homework
Uygulama
Gözlem
Bireysel Proje
Grup Projesi
Sunum
Raporlama
Akran Değerlendirmesi
Bilgisayar Destekli Sunum
Tez Sunma
Uzman / Jüri Değerlendirmesi
Örnek olay sunma
Staj/ Yerinde Uygulama Değerlendirmesi
Yarışma

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 1 % 10
Project 1 % 20
Midterms 1 % 30
Final 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 Aktiviteye Hazırlık Aktivitede Harçanan Süre Aktivite Gereksinimi İçin Süre Workload
Course Hours 14 3 42
Application 14 3 42
Homework Assignments 1 3 3
Midterms 1 2 2
Final 1 2 2
Total Workload 91