Modeling and Simulation(IND304)
| Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| IND304 | Modeling and Simulation | 6 | 3 | 0 | 0 | 3 | 5 |
| Prerequisites | IND373-IND313 |
| Admission Requirements | IND373-IND313 |
| Language of Instruction | Turkish |
| Course Type | Compulsory |
| Course Level | Bachelor Degree |
| Course Instructor(s) | GÜLÇİN BÜYÜKÖZKAN FEYZİOĞLU gulcin.buyukozkan@gmail.com (Email) Merve GÜLER KESMEZ gulermerve93@gmail.com (Email) Merve GÜLER KESMEZ gulermerve93@gmail.com (Email) |
| Assistant | |
| Objective | Modeling and simulation are key tools for improving the performance of industrial systems. The purpose of this course is to give students both a conceptual and cultural practice in the field of modeling and simulation; introduce the applications of modeling and simulation to real problems and introduce students to the use of computer simulation tools. |
| Content |
Course Introduction: Basic concepts of the system, model and simulation - Learning to live with the random and unpredictable - Computer simulation Concepts of the system, input, output, state - Taxonomy of the systems - Different approaches to system analysis - Different production systems and their problems Modeling approach - Modeling process - Modeling method Characteristics and interests of simulation - Monte Carlo Simulation - Random Number Generation - Time Control - Notions queue Simulation process - Simulation techniques Basic probabilistic simulation - Data modeling Analysis of problems and industrial cases with the simulation by hand Learning simulation softwares: Promodel, Servmodel, Medmodel Steps to design a simulation project - Structuring a real project simulation Statistical tests for model validation Verification, validation and analysis of simulation results, examples of real industrial cases Brief overview of simulation languages and simulation softwares |
| Course Learning Outcomes |
1. Model complex systems 2. Recognize the usefulness of the simulation approach solving practical problems and as a tool for decision support 3. Know the Monte Carlo simulation and discrete event simulation 4. Know the statistical treatments for simulation 5. Teach simulation softwares (Promodel, Servmodel, Medmodel) 6. Develop a model and solve a simulation project in a real industrial context 7. Interpret the results of the simulation and understand the limitations and caveats about the analysis of these results 8. Collaboration and teamwork 9. Analyze and solve real industrial cases |
| Teaching and Learning Methods | Lectures notes, exercises, project |
| References |
1.KELTON, W.D. et A.M. LAW (2007). Simulation Modeling and Analysis, (3ème ou 4ème éditions), McGraw Hill. 2. ERKUT, H. (2000). Yönetimde Simülasyon Yaklaşımı, İrfan Yayıncılık, İstanbul. |
Theory Topics
| Week | Weekly Contents |
|---|---|
| 1 | Course Introduction: Basic concepts of the system, model and simulation - Learning to live with the random and unpredictable - Computer simulation |
| 2 | Concepts of the system, input, output, state - Taxonomy of the systems - Different approaches to system analysis - Different production systems and their problems |
| 3 | Modeling approach - Modeling process - Modeling method |
| 4 | Characteristics and interests of simulation - Monte Carlo Simulation - Random Number Generation - Time Control - Notions queue |
| 5 | Simulation process - Simulation techniques |
| 6 | Analysis of problems and industrial cases with the simulation by hand |
| 7 | Midterm |
| 8 | Basic probabilistic simulation - Data modeling |
| 9 | Learning simulation softwares: Promodel, Servmodel, Medmodel |
| 10 | Steps to design a simulation project - Structuring a real project simulation |
| 11 | Statistical tests for model validation |
| 12 | Verification, validation and analysis of simulation results, examples of real industrial cases |
| 13 | Brief overview of simulation languages and simulation softwares |
| 14 | Presentation of projects |
Practice Topics
| Week | Weekly Contents |
|---|
Contribution to Overall Grade
| Number | Contribution | |
|---|---|---|
| Contribution of in-term studies to overall grade | 3 | 60 |
| Contribution of final exam to overall grade | 1 | 40 |
| Toplam | 4 | 100 |
In-Term Studies
| Number | Contribution | |
|---|---|---|
| Assignments | 1 | 10 |
| Presentation | 0 | 0 |
| Midterm Examinations (including preparation) | 1 | 30 |
| Project | 1 | 20 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 0 | 0 |
| Term Paper/ Project | 0 | 0 |
| Portfolio Study | 0 | 0 |
| Reports | 0 | 0 |
| Learning Diary | 0 | 0 |
| Thesis/ Project | 0 | 0 |
| Seminar | 0 | 0 |
| Other | 0 | 0 |
| Toplam | 3 | 60 |
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Knowledge and understanding of a wide range of basic sciences (math, physics, ...) and the main concepts of engineering | X | ||||
| 2 | Ability to combine the knowledge and skills to solve engineering problems and provide reliable solutions | X | ||||
| 3 | Ability to select and apply methods of analysis and modeling to ask, reformulate and solve the complex problems of industrial engineering | X | ||||
| 4 | Ability to conceptualize complex systems, processes or products under practical constraints to improve their performance, ability to use innovative methods of design | X | ||||
| 5 | Ability to design, select and apply methods and tools needed to solve problems related to the practice of industrial engineering, ability to use computer technology | X | ||||
| 6 | Ability to design experiments, collect and interpret data and analyze results | X | ||||
| 7 | Ability to work independently, ability to participate in working groups and have a multidisciplinary team spirit | X | ||||
| 8 | Ability to communicate effectively, ability to speak at least two foreign languages | X | ||||
| 9 | Awareness of the need for continuous improvement of lifelong learning, ability to keep abreast of scientific and technological developments to use the tools of information management | X | ||||
| 10 | Awareness of professional and ethical responsibility | X | ||||
| 11 | Knowledge of the concepts of professional life as "project management", "risk management" and "management of change" | X | ||||
| 12 | Knowledge on entrepreneurship, innovation and sustainability | |||||
| 13 | Understanding of the effects of Industrial Engineering applications on global and social health, environment and safety. | |||||
| 14 | Knowledge of the problems of contemporary society | X | ||||
| 15 | Knowledge of the legal implications of the practice of industrial engineering | |||||
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 14 | 3 | 42 |
| Working Hours out of Class | 12 | 2 | 24 |
| Assignments | 1 | 5 | 5 |
| Midterm Examinations (including preparation) | 1 | 15 | 15 |
| Project | 1 | 20 | 20 |
| Final Examinations (including preparation) | 1 | 26 | 26 |
| Total Workload | 132 | ||
| Total Workload / 25 | 5.28 | ||
| Credits ECTS | 5 | ||