COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Industrial Applications of Simulations
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 337
Fall/Spring
2
2
3
6
Prerequisites
 IE 335To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Problem Solving
Lecturing / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives This course aims at teaching some advanced concepts in discrete event simulation modeling and also making students familiar with the real life simulation applications.
Learning Outcomes The students who succeeded in this course;
  • Will be able to design experiments in discrete event simulation
  • Will be able to make sensitivity analysis in discrete event simulation
  • Will be able to use simulation optimization tools
  • Will be able to model detailed manufacturing and service operations
  • Will be able to model inventory systems
  • Will be able to model material handling systems
Course Description This course emphasizes the detailed discussion of real life simulation applications in manufacturing and service systems so that the students will gain the ability to use simulation technique in business life.
Related Sustainable Development Goals

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Review of Basic Concepts in Simulation Modeling Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
2 Simulation Examples in Spreadsheets Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
3 Simulation Modelling of a Single-Server Queue in C Programming Language Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
4 Modeling Detailed Operations – I : Simulation modeling using data interchange Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
5 Modeling Detailed Operations – II : Modeling with loops and submodels Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
6 Modeling Detailed Operations – III : Modeling packaging operations; batching, separating Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
7 Design of Simulation Experiments Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
8 Sensitivity Analysis and Simulation Optimization Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
9 Modeling Reneging and Jockeying in Queuing Systems Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
10 Modeling Inventory Systems : (r,Q) and (s,S) Inventory Policies Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
11 Simulation of Material Handling Systems I : Unconstrained Transfer in Network of Queuing Systems Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
12 Simulation of Material Handling Systems II : Constrained Transfer with Resources Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
13 Simulation of Material Handling Systems III : Constrained Transfer with Free Path Transporters Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
14 Simulation of Material Handling Systems IV : Constrained Transfer with Guided Path Transporters Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
15 General Review, Discussion and Evaluation Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
16 Review
Course Notes/Textbooks Banks, J., Carson II, J. S., Nelson, L. B., and Nicol M. D., DiscreteEvent System Simulation, Prentice Hall, 2010. Kelton, W.D., Sadowski, R. P. and Sadowski, D.A., Simulation with ARENA, McGraw-Hill, Inc., 2010.
Suggested Readings/Materials Handbook of Simulation, Principles, Methodology, Advances, Applications, and Practice, edited by Jerry Banks, John Wiley and Sons, Inc., 1998. Manul D. Rossetti, Simulation Modeling and ARENA, John Wiley and Sons, 2010. Tayfur Altıok, Benjamin Melamed, Simulation Modeling and Analysis with ARENA, Elsevier, 2007. Simulation Modeling Handbook a Practical Approach, Christopher A. Chung, CRC Press, 2003. Pegden, D.C., Shannon, E.R. and Sadowski P.R., Introduction to Simulation Using SIMAN, McGraw-Hill, Inc., 1995. WSC Proceedings, http://www.informscs.org/wscpapers.html. Ders Notları.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
1
20
Portfolio
Homework / Assignments
1
30
Presentation / Jury
Project
1
30
Seminar / Workshop
Oral Exam
Midterm
Final Exam
1
20
Total

Weighting of Semester Activities on the Final Grade
3
80
Weighting of End-of-Semester Activities on the Final Grade
1
20
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
2
Study Hours Out of Class
16
2
32
Field Work
Quizzes / Studio Critiques
1
10
Portfolio
Homework / Assignments
1
30
Presentation / Jury
Project
1
30
Seminar / Workshop
Oral Exam
Midterms
Final Exams
1
14
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

2

To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively.

5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics.

6

To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Computer Engineering.

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