TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| INDUSTRIAL ENGINEERING PR. | |
| Code | ENM455 |
| Name | Simulation Modelling |
| Term | 2019-2020 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 basics of simulation |
| LO02 | Learning statistical analysis methods using in simulation |
| LO03 | Learning data collection and techniques for distribution fitting |
| LO04 | Learning creating simulation models in computer environment |
| LO05 | Manage to do validation tests of simulation models |
| LO06 | Output analysis and compare alternative systems |
| LO07 | Learning using simulation package programs |
| LO08 | Random numbers and learning the techniques of generating random numbers |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Adequate knowledge in mathematics, science and related engineering discipline; ability to use theoretical and practical knowledge in these areas in complex engineering problems. | 5 |
| PLO02 | - | An ability to identify, formulate, and solve complex industrial engineering problems; the ability to select and apply appropriate analysis and modeling methods for this purpose. | 5 |
| PLO03 | - | An ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose. | 5 |
| PLO04 | - | Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively. | 4 |
| PLO05 | - | Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics. | 5 |
| PLO06 | - | Ability to work effectively in disciplinary and multidisciplinary teams; self-study skills. | 4 |
| PLO07 | - | Ability to communicate effectively in Turkish presentation and in writing; knowledge of at least one foreign language; Ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instruction and receiving skills. | 3 |
| PLO08 | - | Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself. | 4 |
| PLO09 | - | To act in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications. | 5 |
| PLO10 | - | Information on business practices such as project management, risk management and change management; awareness about entrepreneurship and innovation; information on sustainable development. | 4 |
| PLO11 | - | Information about the effects of engineering applications on health, environment and safety in universal and social dimensions and the problems reflected in the engineering field of the age; awareness of the legal consequences of engineering solutions. | 4 |
| PLO12 | - | Ability to make use of the power of effective communication in professional life, to interpret the developments correctly and to make decisions. | 4 |
| PLO13 | - | Ability to design, develop, implement and improve integrated systems including machinery, time, information and money. | 3 |
| PLO14 | - | Ability to design, develop, implement and improve complex product, process, business, system design by applying modern design methods under realistic conditions and constraints such as cost, environment, sustainability, productivity, ethics, health, safety and political issues. | 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 | Mid-Term 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 | Term Exams | Reading and going over lecture notes and references about the subject tough | |
| 17 | Term Exams | 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 | 50 | 20 |
| 1. Project / Design | 50 | 20 |
| 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 | ||