FACULTY OF ENGINEERING

Department of Computer Engineering

IE 337 | 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 335 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Service Course
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Problem Solving
Lecture / 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.

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Review of Basic Concepts in Simulation Modeling Simulation with Arena, Kelton et al. "Chapter 1: What is Simulation?", pg.1-13.
2 Modeling Detailed Operations: A Simple Call Center System Simulation with Arena, Kelton et al. "Chapter 5: Modeling Detailed Operations", pg.201-228.
3 Modeling Detailed Operations: The Enhanced Call Center System Simulation with Arena, Kelton et al. "Chapter 5: Modeling Detailed Operations", pg.228-239.
4 Modeling Detailed Operations: The Enhanced Call Center with More Output Performance Measures Simulation with Arena, Kelton et al. "Chapter 5: Modeling Detailed Operations", pg.239-251.
5 Modeling Inventory Systems : (s,S) Inventory Simulation Simulation with Arena, Kelton et al. "Chapter 5: Modeling Detailed Operations", pg.251-265.
6 A Small Job-Shop Manufacturing System Simulation with Arena, Kelton et al. "Chapter 7-1: A Small Manufacturing System", pg.301-320.
7 A Small Job-Shop Manufacturing System with Resource-Constrained Transfers Simulation with Arena, Kelton et al. "Chapter 8: Entity Transfer", pg.335-341.
8 A Small Job-Shop Manufacturing System with Transporters Simulation with Arena, Kelton et al. "Chapter 8: Entity Transfer", pg.341-355.
9 A Small Job-Shop Manufacturing System with Conveyors Simulation with Arena, Kelton et al. "Chapter 8: Entity Transfer", pg.355-364.
10 Arena Intgration and Customization: Reading and Writing Data Files Simulation with Arena, Kelton et al. "Chapter 10: Arena Integration and Customization", pg.413-430.
11 Arena Integration and Customization: VBA, Designing The UserForm and Recording Model Results in Microsoft Excel Simulation with Arena, Kelton et al. "Chapter 10: Arena Integration and Customization", pg.430-462.
12 Design of Simulation Experiments Work Smarter, Not Harder: A Tutorial on Designing and Conducting Simulation Experiments. Sanchez, S. M and Wan. H. Proceedings of the 2012 Winter Simulation Conference, pg.1929-1943
13 Sensitivity Analysis and Simulation Optimization Simulation with Arena, Kelton et al. "Chapter 6.6: Searching for an Optimal Scenario with OptQuest", pg.290-295.
14 Project Presentations
15 General Review, Discussion and Evaluation
16 Review

 

Course Notes/Textbooks

Kelton, W.D., Sadowski, R. P. and Sadowski, D.A., Simulation with ARENA, McGraw-Hill, Inc., 2010. ISBN: 978-007-126771-7.

Suggested Readings/Materials

Manul D. Rossetti. Simulation Modeling and ARENA, John Wiley and Sons, 2nd Ed. 2015. ISBN: 978-1-11885814-1.

Tayfur Altıok and Benjamin Melamed. Simulation Modeling and Analysis with ARENA, Elsevier, 2007. ISBN: 0-12-370523-1.

Sanchez, S. M and Wan. H. Work Smarter, Not Harder: A Tutorial on Designing and Conducting Simulation Experiments.  Proceedings of the 2012 Winter Simulation Conference, pg.1929-1943.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
1
30
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
20
Presentation / Jury
Project
1
30
Seminar / Workshop
Oral Exams
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
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
14
2
28
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
1
30
30
Presentation / Jury
0
Project
1
40
40
Seminar / Workshop
0
Oral Exam
0
Midterms
0
Final Exam
1
18
18
    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

 


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