| Industrial Engineering (English) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code: | ISE304 | ||||
| Course Name: | Systems Simulation | ||||
| Semester: | Spring | ||||
| Course Credits: |
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| Language of instruction: | English | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Compulsory Courses | ||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||
| Course Coordinator: | Doç. Dr. SALİHA KARADAYI USTA | ||||
| Course Lecturer(s): | Dr. Öğr. Üy. NADİ SERHAN AYDIN | ||||
| Course Assistants: |
| Course Objectives: | This course aims to teach students the basic concepts and algorithms of discrete-event simulation modelling and analysis, introduce them to a particular software tool for simulation, and enable them to apply their probability and statistics knowledge to simulation modelling and analysis. |
| Course Content: | Simulation modeling concepts and discrete event simulation, Random number and random variate generation, Selection of probability distributions for model inputs, Validation and verification, Output analysis, Comparison of alternative systems |
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The students who have succeeded in this course;
1) Define a system and its components for discrete-event simulation (DES) 2) Perform manual simulation using the event-scheduling approach 3) I am able to understand and work with different types of queuing systems. 4) Generate random variates from various distributions and apply input modelling for DES. 5) Build, verify and validate computer simulation models for DES. 6) DES için çıktı analizi yapabilir ve alternatif sistem tasarımlarını karşılaştırabilir. |
| Week | Subject | Related Preparation |
| 1) | Introduction to simulation modelling | |
| 2) | Event-scheduling / time-advance algorithm | |
| 3) | Review of probability and random variables | |
| 4) | Queueing systems | |
| 5) | Queueing systems | |
| 6) | Random value generation | |
| 7) | Input modelling | |
| 8) | Midterm exam | |
| 9) | Input modelling | |
| 10) | Model verification and validation | |
| 11) | Model verification and validation | |
| 12) | Output analysis | |
| 13) | Output analysis | |
| 14) | General review and project presentations |
| Course Notes / Textbooks: | Banks, J., Carson. J.S., Nelson, B.L. and Nicole, D.M. (2010) Discrete Event System Simulation, 5th ed. Prentice Hall. |
| References: | Kelton, W. David, Sadowski, Randall P., and Swets, Nancy B. (2010). Simulation with Arena, Fifth Edition. McGraw-Hill Higher Education (ISBN: 978-0-07-337628-8). Law, A.M. (2007) Simulation Modeling and Analysis, 4th ed. McGraw Hill. |
| Course Learning Outcomes | 1 |
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| Program Outcomes | |||||||||||
| 1) Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. | |||||||||||
| 2) Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 3 | 2 | 3 | 3 | 3 | 3 | |||||
| 3) Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | 3 | 2 | 3 | 2 | 3 | 2 | |||||
| 4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively. | 2 | 3 | |||||||||
| 5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics. | 3 | 3 | 3 | ||||||||
| 6) Ability to work effectively within and multidisciplinary teams; individual study skills. | 2 | 2 | 2 | 2 | 2 | ||||||
| 7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | 2 | 2 | 2 | 2 | 2 | ||||||
| 8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | |||||||||||
| 9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | |||||||||||
| 10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | 2 | 2 | 2 | 2 | 2 | ||||||
| 11) Knowledge of the effects of industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions. | |||||||||||
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. | |
| 2) | Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 3 |
| 3) | Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | 3 |
| 4) | Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively. | 3 |
| 5) | Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics. | 3 |
| 6) | Ability to work effectively within and multidisciplinary teams; individual study skills. | 2 |
| 7) | Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | 2 |
| 8) | Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | |
| 9) | To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | |
| 10) | Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | 2 |
| 11) | Knowledge of the effects of industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions. |
| Semester Requirements | Number of Activities | Level of Contribution |
| Quizzes | 5 | % 3 |
| Homework Assignments | 3 | % 7 |
| Project | 1 | % 25 |
| Midterms | 1 | % 25 |
| Final | 1 | % 40 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| total | % 100 | |
| Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
| Course Hours | 13 | 0 | 3 | 39 | |||
| Laboratory | 13 | 0 | 2 | 26 | |||
| Study Hours Out of Class | 13 | 0 | 3 | 39 | |||
| Project | 1 | 0 | 15 | 15 | |||
| Homework Assignments | 4 | 0 | 5 | 20 | |||
| Midterms | 1 | 8 | 2 | 10 | |||
| Final | 1 | 18 | 2 | 20 | |||
| Total Workload | 169 | ||||||