COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Systems Simulation
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
BA 619
Fall/Spring
3
0
3
7.5
Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Third Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives This course aims at teaching both the basic and advanced concepts of simulation modeling for managerial decision-making, focuses on difficulties in modeling real-life systems and enhances all these concepts by using simulation modeling language ARENA.
Learning Outcomes The students who succeeded in this course;
  • learn both the basic and advanced concepts of simulation modeling for managerial decision-making
  • learn queuing models.
  • learn how to verify and validate simulation models.
  • learn input and output analysis of simulation models
  • evaluate the performance of alternative designs in various applications such as manufacturing, logistics, healthcare using discrete-event simulation modeling.
  • develop skills in using the simulation software package ARENA
Course Description Introduction to simulation, simulation modelling, Monte-Carlo simulation, introduction to Arena, building a model in Arena, simulation input-output analysis, data collection and simulation model.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction to Simulation Chapter 1
2 Queuing Models Chapter 6
3 Queuing Models Chapter 6
4 Input Modeling Chapters 7, 8 and 9
5 Verification and Validation of Simulation Models Chapter 10
6 Simulation Modeling Using software package ARENA Handouts will be given
7 Output Analysis Chapter 11
8 Output Analysis Chapter 11
9 Comparison and Evaluation of Alternative System Designs Chapter 12
10 Comparison and Evaluation of Alternative System Designs Chapter 12
11 Midterm Exam
12 Variance Reduction Techniques Handouts will be given
13 Experimental Design and Optimization Handouts will be given
14 Presentation of the Projects
15 Review of the Semester
16 Review of the Semester
Course Notes/Textbooks

Banks, J.,Carson II, J. S., Nelson, L. B., and Nicol M. D., Discrete-Event System Simulation, Prentice Hall, 2010

ISBN-13: 978-0136062127

Suggested Readings/Materials

Kelton, W.D., Sadowski, R.P. and Zupick, N.P., Simulation with ARENA, 6e, McGraw-Hill Education, 2015. ISBN 978-0073401317

Law, A.M., Simulation Modeling and Analysis, McGraw-Hill Education, 2014 ISBN-13: 978-0073401324

Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice, edited by Banks, J., John Wiley& Sons, Inc., 1998. ISBN: 978-0471134039

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
30
Presentation / Jury
Project
1
30
Seminar / Workshop
Oral Exam
Midterm
1
40
Final Exam
Total

Weighting of Semester Activities on the Final Grade
3
100
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
15
4
60
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
35
Presentation / Jury
Project
1
25
Seminar / Workshop
Oral Exam
Midterms
1
20
Final Exams
    Total
188

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to master existing theoretical knowledge in their specialized area of business administration.

X
2

To be able to gain in-depth knowledge of research methodologies and design.

X
3

To be able to acquire advanced knowledge of data collection and analysis techniques.

X
4

To be able to design and conduct original research with a scholarly theoretical emphasis.

X
5

To be able to disseminate scholarly knowledge in well-known academic networks.

X
6

To be able to demonstrate the ability to communicate the results of their research in a clear and effective manner with various audiences.

X
7

To be able to have concerns for the high ethical standards in research, and teaching.

X
8

To be able to adopt critical attitude toward the extant literature and practice in the specialized area of business administration.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest