TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| INDUSTRIAL ENGINEERING PR. | |
| Code | ENM455 |
| Name | Simulation Modelling |
| Term | 2018-2019 Academic Year |
| Semester | 7. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. CENK ŞAHİN |
| Course Instructor |
Prof. Dr. CENK ŞAHİN
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is to teach the simulation modelling and analysis technique as an approach to analyse the problems of industrial engineering. In this course it will be focused on the statistical analysis methods used in simulation modelling as well as the creation of simulation models in computer environment.
Course Content
Basic Simulation Concepts, Discrete Event Simulation and Modelling Structure, Selection of Probability Distributions, Hypothesis Tests, Random Number Generators and Generating Random Numbers from Distributions, Analyzing Simulation Softwares SIMAN Simulation Language and ARENA Model Development Environment, ARENA Examples and Applications, Validation Tests of Simulation Models, Output Analysis and Comparing Alternative Systems' Design, Variance Reduction Techniques
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learning the basics of simulation and the concept of randomness |
| LO02 | Learning and Interpreting the Selection of Probability Distributions |
| LO03 | Ability to analyze output |
| LO04 | Learning to use a Simulation package program |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Has sufficient background on topics related to mathematics, physical sciences and industrial engineering. | 5 |
| PLO02 | - | Gains ability to use the acquired theoretical knowledge on basic sciences and industrial engineering for describing, formulating and solving an industrial engineering problem, and to choose appropriate analytical and modeling methods. | 5 |
| PLO03 | - | Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems . | 5 |
| PLO04 | - | Gains ability to choose and apply methods and tools for industrial engineering applications. | 4 |
| PLO05 | - | Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions. | 5 |
| PLO06 | - | Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team. | 4 |
| PLO07 | - | Can access information and to search/use databases and other sources for information gathering. | 3 |
| PLO08 | - | Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously. | 4 |
| PLO09 | - | Can use computer software in industrial engineering along with information and communication technologies. | 5 |
| PLO10 | - | Can use oral and written communication efficiently. | 4 |
| PLO11 | - | Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession. | 4 |
| PLO12 | - | Has a conscious understanding of professional and ethical responsibilities. | 4 |
| PLO13 | - | Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice. | 3 |
| PLO14 | - | Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Basic Simulation Concepts | Reading lecture notes and references about the subject | |
| 2 | Discrete Event Simulation and Modelling Structures | Reading lecture notes and references about the subject | |
| 3 | Selection of Probability Distributions-I | Reading lecture notes and references about the subject | |
| 4 | Selection of Probability Distributions-II | Reading lecture notes and references about the subject | |
| 5 | Hypothesis Tests | Reading lecture notes and references about the subject | |
| 6 | Random Number Generators and Generating Random Numbers from Distributions | Reading lecture notes and references about the subject | |
| 7 | Analyzing Simulation Softwares: SIMAN-Simulation Language and ARENA-Model Development Environment | Reading lecture notes and references about the subject | |
| 8 | Midterm Exam | Reading and going over lecture notes and references about the subject tough | |
| 9 | ARENA Examples and Applications-I | Reading lecture notes and references about the subject | |
| 10 | ARENA Examples and Applications-II | Reading lecture notes and references about the subject | |
| 11 | ARENA Examples and Applications-III | Reading lecture notes and references about the subject | |
| 12 | ARENA Examples and Applications-IV | Reading lecture notes and references about the subject | |
| 13 | Validation Tests of Simulation Models | Reading lecture notes and references about the subject | |
| 14 | Output Analysis and Comparing Alternative Systems Design | Reading lecture notes and references about the subject | |
| 15 | Variance Reduction Techniques | Reading lecture notes and references about the subject | |
| 16 | Final Exam | Reading and going over lecture notes and references about the subject tough | |
| 17 | Final Exam | Reading and going over lecture notes and references about the subject tough |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 63 | 25.2 |
| 1. Homework | 12 | 4.8 |
| 2. Homework | 25 | 10 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 14 | 14 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 7 | 7 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 109 | ||
| Total Workload / 25 (h) | 4,36 | ||
| ECTS | 4 ECTS | ||