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Information
| Code | EM0022 |
| Name | Advanced Simulation Modeling |
| Term | 2023-2024 Academic Year |
| Semester | . Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator |
Course Goal / Objective
To examine the simulation technique as an analysis and modeling approach in industrial engineering problems. In this course, both the creation of simulation models in computer environment and statistical analysis methods used in simulation will be emphasized.
Course Content
Basic Simulation Concepts, Discrete Event Simulation and Modeling Structures, Selection of Probability Distributions, Hypothesis Tests, Random Number Generators and Random Number Generation from Distributions, Analysis of Simulation Software and SIMAN Simulation Language and ARENA Model Development Environment, ARENA Examples and Applications, Validity Tests of Simulation Models, Output Analysis and Comparison of Alternative System Designs, Variance Reduction Techniques
Course Precondition
None
Resources
Law, A.M. and Kelton, W.D. (2000) Simulation Modeling and Analysis
Notes
Law, A.M. and Kelton, W.D. (2000) Simulation Modeling and Analysis
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learning statistical analysis methods used in simulation |
| LO02 | Students will gain the ability to understand and apply statistical methods used in the analysis of simulation-based modelling. |
| LO03 | Students will be able to build new models and design a simulation project from start to finish |
| LO04 | Students will be able to test the validity of the simulation model. |
| LO05 | Students will be able to analyze output and compare alternative systems. |
| LO06 | Students will learn to use at least one simulation package program. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Conducts scientific research in industrial engineering, understands, interprets and applies knowledge in his/her field domain both in-depth and in-breadth. | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Keeps up with the recent changes and applications in the field of Industrial Engineering and examines and learns these innovations when necessary. | 5 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Acquires detailed knowledge for methods and tools of industrial engineering and their limitations. | 4 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Identifies, gathers and uses necessary information and data. | 5 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Develops original definitions that will provide innovation to the field at the level of expertise for current and advanced information in the field based on graduate qualifications. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Designs and performs analytical modeling and experimental research and analyze/solves complex matters emerged in this process. | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Has the ability to develop/propose new and/or original ideas and methods, propose new solutions for designing systems, components or processes. | 5 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Designs Industrial Engineering problems, develops new methods to solve the problems and applies them. | 4 |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Works in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. | |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Completes and applies the knowledge by using limited resources in scientific methods and integrates the knowledge in the field with the knowledge form various disciplines. | 5 |
| PLO11 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a foreign language in verbal and written communication at least B2 level of European Language Portfolio. | |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Presents his/her research findings systematically and clearly in oral or written forms in national and international platforms. | 4 |
| PLO13 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Understands social and environmental implications of engineering practice. | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Considers social, scientific and ethical values in data collection, interpretation and announcement processes and professional activities. | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to Simulation and Basic Concepts | Reading the lecture notes and references related to the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Discrete Event Simulation and Modeling Structures | Reading the lecture notes and references related to the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Basic Queue Structures and Analysis | Reading the lecture notes and references related to the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Queuing Theory | Reading the lecture notes and references related to the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 5 | Statistical Distributions | Reading the lecture notes and references related to the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 6 | Statistical Distributions-II | Reading the lecture notes and references related to the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 7 | Random Number Generating Techniques | Reading the lecture notes and references related to the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 8 | Midterm Exam | Studying on books and lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Simulation Software | Reading the lecture notes and references related to the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 10 | Simulation Modeling Examples and Applications-I | Reading the lecture notes and references related to the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 11 | Simulation Modeling Examples and Applications-II | Reading the lecture notes and references related to the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 12 | Simulation Modeling Examples and Applications-III | Reading the lecture notes and references related to the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 13 | Simulation Modeling Examples and Applications-IV | Reading the lecture notes and references related to the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 14 | Simulation Modeling Examples and Applications-V | Reading the lecture notes and references related to the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 15 | Output Analysis | Reading the lecture notes and references related to the subject | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 16 | Final Exam | Studying on books and lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Final Exam | Studying on books and lecture notes | Ölçme Yöntemleri: Ödev |
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 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||