FACULTY OF ENGINEERING

Department of Industrial 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
Elective
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
X
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 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 Exams
Midterm
Final Exam
1
20
Total

Weighting of Semester Activities on the Final Grade
80
Weighting of End-of-Semester Activities on the Final Grade
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
16
2
32
Field Work
0
Quizzes / Studio Critiques
1
10
10
Portfolio
0
Homework / Assignments
1
30
30
Presentation / Jury
0
Project
1
30
30
Seminar / Workshop
0
Oral Exam
0
Midterms
0
Final Exam
1
14
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 Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems.

X
2

To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques.

X
4

To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently.

5

To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas.

X
6

To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually.

X
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 contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions.

9

To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice.

10

To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development.

X
11

To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language.

12

To be able to speak a second foreign 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 Industrial Engineering.

X

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

 


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