| Course Name |
Industrial Applications of Simulations
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
IE 337
|
FALL
|
2
|
2
|
3
|
6
|
| Prerequisites | being successful at IE 335 (at least DD) | |||||
| Course Language | English | |||||
| Course Type | ELECTIVE_COURSE | |||||
| Course Level | First Cycle | |||||
| Mode of Delivery | Face-To-Face | |||||
| Teaching Methods and Techniques of the Course | Explanation/ Presentation Experiment/ Laboratory / Workshop application | |||||
| National Occupational Classification Code | - | |||||
| Course Coordinator |
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| Course Lecturer(s) |
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| Assistant(s) | - | |||||
| Course Objectives | This course aims to teach modelling of intermediate and advanced simulation applications and explain simulation applications for the industrial applications. | |||||||||||||||||||||||||||||||||||||||||||||
| Learning Outcomes |
The students who succeeded in this course;
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| Course Description | This course includes intermediate modelling applications of operations, simulation modelling of inventory system and a small job-shop manufacturing system, experiment design and optimization, and digital twins in industry. | |||||||||||||||||||||||||||||||||||||||||||||
| Related Sustainable Development Goals |
-
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Core Courses |
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| Major Area Courses |
X
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| Supportive Courses |
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| Media and Managment Skills Courses |
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| Transferable Skill Courses |
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| Week | Subjects | Required Materials | Learning Outcome |
| 1 | Simulation Modelling and Review of Basic Concepts | Simulation with Arena, Kelton et al. "Chapter 1: What is Simulation?", pg.1-13. | LO1 |
| 2 | Modeling Detailed Operations | Simulation with Arena, Kelton et al. "Chapter 5: Modeling Detailed Operations", pg.201-228. | LO1 |
| 3 | Modeling Detailed Operations | Simulation with Arena, Kelton et al. "Chapter 5: Modeling Detailed Operations", pg.201-228. | LO1 |
| 4 | Modeling Detailed Operations | Simulation with Arena, Kelton et al. "Chapter 5: Modeling Detailed Operations", pg.228-239. | LO1 |
| 5 | Modeling Detailed Operations | Simulation with Arena, Kelton et al. "Chapter 5: Modeling Detailed Operations", pg.228-239. | LO1 |
| 6 | Modeling Detailed Operations | Simulation with Arena, Kelton et al. "Chapter 5: Modeling Detailed Operations", pg.239-251. | LO1 |
| 7 | Modeling Inventory Systems | Simulation with Arena, Kelton et al. "Chapter 5: Modeling Detailed Operations", pg.251-265. | LO2 |
| 8 | Modeling a Small Job-Shop Manufacturing System | Simulation with Arena, Kelton et al. "Chapter 7-1: A Small Manufacturing System", pg.301-335. | LO1 |
| 9 | Modeling a Small Job-Shop Manufacturing System with Material Handling Tools | Simulation with Arena, Kelton et al. "Chapter 8: Entity Transfer", pg.341-355. | LO1 |
| 10 | Experimental Design in Simulation | 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. | LO3 |
| 11 | Experimental Design in Simulation and Optimization | Simulation with Arena, Kelton et al. "Chapter 6.6: Searching for an Optimal Scenario with OptQuest", pg.290-295. | LO3 |
| 12 | Introduction to Digital Twins | Proceedings of the 2024 Winter Simulation Conference | LO4 |
| 13 | Use cases of Digital Twins in Industry | Proceedings of the 2024 Winter Simulation Conference | LO4 |
| 14 | Project Presentations | - | |
| 15 | Review of Semester | - | |
| 16 | Final Exam | - |
| 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 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. |
| Semester Activities | Number | Weighting | LO1 | LO2 | LO3 | LO4 |
| Laboratory / Application | 1 | 30 | X | X | ||
| Homework / Assignments | 1 | 20 | X | X | ||
| Project | 1 | 30 | X | X | ||
| Final Exam | 1 | 20 | X | X | ||
| Total | 4 | 100 |
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Participation | - | - | - |
| Theoretical Course Hours | 16 | 2 | 32 |
| Laboratory / Application Hours | 16 | 2 | 32 |
| Study Hours Out of Class | 14 | 2 | 28 |
| Field Work | - | - | - |
| Quizzes / Studio Critiques | - | - | - |
| Portfolio | - | - | - |
| Homework / Assignments | 1 | 30 | 30 |
| Presentation / Jury | - | - | - |
| Project | 1 | 40 | 40 |
| Seminar / Workshop | - | - | - |
| Oral Exams | - | - | - |
| Midterms | - | - | - |
| Final Exam | 1 | 18 | 18 |
| Total | 180 |
| # | PC Sub | Program Competencies/Outcomes | * Contribution Level | ||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 |
Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems. |
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| 1 |
Mathematics |
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| 2 |
Science |
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| 3 |
Basic Engineering |
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| 4 |
Computation |
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| 5 |
Related engineering discipline-specific topics |
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| 6 |
The ability to apply this knowledge to solve complex engineering problems |
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| 2 |
Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed. |
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| 3 |
Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions. |
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| 1 |
Ability to design creative solutions to complex engineering problems |
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| 2 |
Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions |
LO1 | |||||
| 4 |
Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations. |
LO2 LO4 | |||||
| 5 |
Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results. |
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| 1 |
Literature research for the study of complex engineering problems |
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| 2 |
Designing experiments |
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| 3 |
Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results |
LO3 | |||||
| 6 |
Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions. |
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| 1 |
Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals |
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| 2 |
Awareness of the legal implications of engineering solutions |
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| 7 |
Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity. |
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| 1 |
Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility |
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| 2 |
Awareness of being impartial and inclusive of diversity, without discriminating on any subject |
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| 8 |
Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid). |
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| 1 |
Ability to work individually and within the discipline |
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| 2 |
Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid) |
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| 9 |
Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues. |
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| 1 |
Ability to communicate verbally |
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| 2 |
Ability to communicate effectively in writing |
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| 10 |
Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation. |
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| 1 |
Knowledge of business practices such as project management and economic feasibility analysis |
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| 2 |
Awareness of entrepreneurship and innovation |
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| 11 |
Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes. |
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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