DEPARTMENT OF INDUSTRIAL ENGINEERING (ENGLISH)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code:

1411311003

Ders İsmi:

Operations Research II

Ders Yarıyılı:

Fall

Ders Kredileri:

Theoretical	Practical	Credit	ECTS
3	0	3	6

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Necessary

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi Elif TARAKÇI

Course Lecturer(s):

Dr.Öğr.Üyesi Elif TARAKÇI

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:	Teaching the theory and solution procedures of Integer Programming, Network Models, Inventory Models and Queuing Models, which are among the subjects of Operations Research, and thus ensuring the scientific determination of the policies and activities of the management.
Course Content:	Integer Linear Programming and Algorithms; Network Models; Minimum Spanning Tree Algorithm; Shortest Path Problem and Algorithms; Maximal Flow Algorithm; Minimum Cost Capacity Flow Problem and Algorithm; CPM-PERT; Deterministic Stock Models; Queuing Theory and Queuing Models

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
1) Student can model and solve real life problems.
3 - Competences
Communication and Social Competence
Learning Competence
1) Students gain the ability to optimize the models they encounter.
Field Specific Competence
1) The student gains the ability to solve inventory models, network models and queuing models.
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	Introduction to Integer Linear Programming; Explanatory Examples; Integer Linear Programming Algorithms;Branch-Bound Algorithm	lecturer notes
2)	Cutting Plane Algorithm	lecturer notes
3)	Network Models; Scope of network applications; Network definitions; Minimum Spanning Tree (minimal spanning) Algorithm	lecturer notes
4)	Shortest Path Problem; Examples of Shortest Path applications; Shortest Path Algorithms; Maximum Flow Model; Number of Cuts; Maximum Flow Algorithm	lecturer notes
5)	Minimum cost capacity flow problem; Network Representation; Linear Programming formulation; Simplex Algorithm for network with minimum cost capacity	lecturer notes
6)	CPM-PERT; Network display; Critical path method and critical path calculations; Creating the timeline	lecturer notes
7)	Explanation of Project Evaluation and Review Technique and Sample Applications	lecturer notes
8)	midterm	lecturer notes
9)	Production Model; production model in the absence of	lecturer notes
10)	Economic order quantity model with price discount	lecturer notes
11)	Economic order quantity model with price discount	lecturer notes
12)	Dynamic Economic Order Quantity Models	lecturer notes
13)	Queuing Theory and Introduction to Queuing Systems; Basic Components of Queuing Models; The Role of Exponential Distribution	lecturer nootes
14)	Pure Models of Birth and Death; Generalized Poisson Tail Model	lecturer notes
15)	Pure Models of Birth and Death; Generalized Poisson Tail Model	lecturer notes
16)	final	lecturer notes

Sources

Course Notes / Textbooks:	ders notları
References:	Winston, W.L., Operations Research: Applications and Algorithms, 4th Edition, Brooks/Cole-Thomson Learning, 2004. Operations research: an introduction / Hamdy A. Taha Introduction to operations research / Frederick S Hillier, Frederick S. Hillier ; Gerald J. Lieberman.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	2	3
Program Outcomes
1) Adequate knowledge of mathematics (a), science (b) and industrial engineering (c) (1) and the ability to use this knowledge in complex engineering problems.
2) Ability to work effectively both individually and in interdisciplinary and multidisciplinary teams.
3) Awareness of the necessity of lifelong learning and the ability to access information, to follow developments in science and technology, and to constantly renew oneself.
4) Knowledge of project management, risk management, innovation and change management, entrepreneurship and sustainable development
5) Awareness of the sectors and the ability to prepare a business plan.
6) Professional and ethical responsibility awareness and acting in accordance with ethical principles.
7) Information about the problems of the age in the field of engineering and the effects and legal consequences of engineering practices on health, environment and safety in universal and social dimensions.
8) Information about current engineering practices and standards used in engineering practices.
9) The ability to identify, formulate and solve complex engineering problems, and the ability to select and apply appropriate analysis and modeling methods for this purpose.
10) The ability to design a complex system, process, device or product using modern methods under realistic constraints and conditions and to meet specific requirements.
11) The ability to develop, select and use modern techniques and tools necessary for the solution of engineering problems, and the ability to use information technologies effectively.
12) Ability to design and conduct experiments, collect data, analyze data and interpret results for the study of engineering problems or research issues.
13) Ability to communicate effectively, write reports and make presentations in Turkish and English with oral, written and visual methods.
14) In-depth knowledge of appropriate analytical and experimental methods and computational methods for system integration such as simulation (a), production systems (b) operations research (c) and statistics (d).
15) Skills in designing (a) and improving (b), defining goals and criteria (c), analyzing (d) and developing solutions (e) systems that include people, materials, information, equipment and energy to creatively solve real-life problems

Ders - Öğrenme Kazanımı İlişkisi

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge of mathematics (a), science (b) and industrial engineering (c) (1) and the ability to use this knowledge in complex engineering problems.
2)	Ability to work effectively both individually and in interdisciplinary and multidisciplinary teams.
3)	Awareness of the necessity of lifelong learning and the ability to access information, to follow developments in science and technology, and to constantly renew oneself.
4)	Knowledge of project management, risk management, innovation and change management, entrepreneurship and sustainable development
5)	Awareness of the sectors and the ability to prepare a business plan.
6)	Professional and ethical responsibility awareness and acting in accordance with ethical principles.
7)	Information about the problems of the age in the field of engineering and the effects and legal consequences of engineering practices on health, environment and safety in universal and social dimensions.
8)	Information about current engineering practices and standards used in engineering practices.
9)	The ability to identify, formulate and solve complex engineering problems, and the ability to select and apply appropriate analysis and modeling methods for this purpose.
10)	The ability to design a complex system, process, device or product using modern methods under realistic constraints and conditions and to meet specific requirements.	5
11)	The ability to develop, select and use modern techniques and tools necessary for the solution of engineering problems, and the ability to use information technologies effectively.
12)	Ability to design and conduct experiments, collect data, analyze data and interpret results for the study of engineering problems or research issues.	5
13)	Ability to communicate effectively, write reports and make presentations in Turkish and English with oral, written and visual methods.
14)	In-depth knowledge of appropriate analytical and experimental methods and computational methods for system integration such as simulation (a), production systems (b) operations research (c) and statistics (d).	4
15)	Skills in designing (a) and improving (b), defining goals and criteria (c), analyzing (d) and developing solutions (e) systems that include people, materials, information, equipment and energy to creatively solve real-life problems

Öğrenme Etkinliği ve Öğretme Yöntemleri

Course
Homework
Problem Çözme
Soru cevap/ Tartışma

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework
Uygulama

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Semester Final Exam	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	6	84
Homework Assignments	1	6	6
Midterms	1	2	2
Final	1	3	3
Total Workload			137