EM537 Operations Research Modeling and Applications

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code EM537
Name Operations Research Modeling and Applications
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 Prof. Dr. ALİ KOKANGÜL


Course Goal / Objective

It is aimed to provide detailed information on operation research techniques and ability to apply these techniques using LINDO package program

Course Content

Modeling: Physical models, mathematical models, etc.; the classification of operations research techniques, components of mathematical models: the decision variables, objective function and constraints; global and local solutions; optimization steps; verbal and mathematical expression of real-life optimization problems; graphical methods; linear programming, nonlinear programming, duality and sensitivity analysis; optimization computer package programs that are being used, the solution of mathematical models using LINGO package program, applications of linear and nonlinear programming, Project presentations. Construction mathematical models of real-life problems, selecting the most appropriate optimization method to the constructed mathematical model and driving the solutions from the model using computer optimization programs such as LINGO

Course Precondition

The course has no prerequisites

Resources

INTRODUCTION TO OPERATIONS RESEARCH, SEVENTH EDITION, Hillier/ Lieberman

Notes

Operations Research. Murthy, P.R.Yok


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learns to construct mathematical models of real-life problems
LO02 Select the most appropriate optimization method
LO03 Testing the validity of the model
LO04 Developing the ability to derive solutions
LO05 To gain application ability
LO06 Ability to use LINGO 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. 3
PLO04 Bilgi - Kuramsal, Olgusal Identifies, gathers and uses necessary information and data. 4
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. 3
PLO06 Beceriler - Bilişsel, Uygulamalı Designs and performs analytical modeling and experimental research and analyze/solves complex matters emerged in this process. 5
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.
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. 4
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. 3
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. 2
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 Modelling: Physical models, mathematical models, and so on. Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 The classification of operations research techniques Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Components of mathematical models: the decision variables, objective function and constraints Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Global and local solutions in optimization Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Examination of optimization stages Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Verbal and mathematical expression of real-life optimization problems Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 Solution of the established optimization models with graphical method Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
8 Mid-Term Exam Preparation for the exam Ölçme Yöntemleri:
Yazılı Sınav
9 Linear programming and its applications Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 Nonlinear programming and its applications Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Duality and sensitivity analysis Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Computer package programs that are being used Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 The solution of mathematical models using LINGO package program Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
14 Evaluation of project presentations I Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
15 Evaluation of project presentations II Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
16 Term Exams Preparation for the exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Preparation for the exam Ölçme Yöntemleri:
Yazılı Sınav


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

Update Time: 12.05.2023 03:45