FACULTY OF ENGINEERING
Department of Mechatronics 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 |
|
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Course Language |
English
|
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Course Type |
Service Course
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Course Level |
First Cycle
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Mode of Delivery | - | |||||||
Teaching Methods and Techniques of the Course | Problem SolvingLecture / 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;
|
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. |
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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
|
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1 | To have knowledge in Mathematics, science, physics knowledge based on mathematics; mathematics with multiple variables, differential equations, statistics, optimization and linear algebra; to be able to use theoretical and applied knowledge in complex engineering problems |
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2 | To be able to identify, define, formulate, and solve complex mechatronics engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose. |
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3 | To be able to design a complex electromechanical system, process, device or product with sensor, actuator, control, hardware, and software to meet specific requirements under realistic constraints and conditions; to be able to apply modern design methods for this purpose. |
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4 | To be able to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; to be able to use information technologies effectively. |
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5 | To be able to design, conduct experiments, collect data, analyze and interpret results for investigating Mechatronics Engineering problems. |
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6 | To be able to work effectively in Mechatronics Engineering disciplinary and multidisciplinary teams; to be able to work individually. |
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7 | To be able to communicate effectively in Turkish, both in oral and written forms; 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. |
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8 | To have knowledge about global and social impact of 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 engineering solutions. |
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9 | To be aware of ethical behavior, professional and ethical responsibility; information on standards used in engineering applications. |
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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. |
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11 | Using a foreign language, he collects information about Mechatronics Engineering and communicates with his colleagues. ("European Language Portfolio Global Scale", Level B1) |
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12 | To be able to use the second foreign language at intermediate level. |
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13 | To recognize the need for lifelong learning; to be able to access information; to be able to follow developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Mechatronics Engineering. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest