IND301 Operations Research IIInstitutional InformationDegree Programs Industrial Engineering(English)Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Industrial Engineering(English)

Preview

Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course General Introduction Information

Course Code: IND301
Course Name: Operations Research II
Course Semester: Fall
Course Credits:
ECTS
5
Language of instruction:
Course Requirement:
Does the Course Require Work Experience?: No
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 : Ar.Gör. HÜSEYİN TANSU YILDIRIM
Course Lecturer(s):
Course Assistants:

Course Purpose and Content

Course Objectives: To teach theory and solution procedure of Networks Models, Inventory Models and Queuing Models in Operations Research and to find the politics and activities of management as scientific.
Course Content: Network Models; Minimal Spanning-tree Algorithm; Shortest- Route Problem and Algorithms; Maximal Flow Algorithm; Minimal 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;
1) Gains knowledge on optimisation concept.
2) Gains ability to build model the real life problems
3) Gains to solve model inventory, network and queuing models.
4) Solves the real life problems.
5) Gains ability adapting the exist models to the real life problems.

Course Flow Plan

Week Subject Related Preparation
1) Introduction to Network Models; Minimal Spanning Problems
2) The Shortest Path Problem, Maximum Flow Problems
3) The Minimum Cost Flow Problems; The Formulation of Linear Programming GAMS Applications
4) CPM-PERT
5) PERT
6) Introduction to Inventory Models; ABC Inventory Control
7) Deterministic Inventory Problems; Classical Economical Order Quantity
8) Midterm
9) EOQ in Case Shortage; Production Model
10) EOQ With Quantity Discounts
11) Dynamic EOQ Models
12) EOQ in Inventory Models
13) Queuing Models
14) Introduction to birth-death models; Generalized Queuing Models
15) Final Exam

Sources

Course Notes / Textbooks: 1. W.L. Winston, Operations Research (4th ed.), Duxbury, 2004. 2. F.S. Hillier and G.J. Lieberman, Introduction to Operations Research (8th ed.), McGraw-Hill, 2005. 3. H. A. Taha, Operations Research: An Introduction (8th ed.), Prentice-Hall, 2006.
References: 1. W.L. Winston, Operations Research (4th ed.), Duxbury, 2004. 2. F.S. Hillier and G.J. Lieberman, Introduction to Operations Research (8th ed.), McGraw-Hill, 2005. 3. H. A. Taha, Operations Research: An Introduction (8th ed.), Prentice-Hall, 2006.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science, and related engineering discipline; ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) An ability to detect, identify, formulate, and solve complex engineering problems; the ability to select and apply appropriate analysis and modelling methods for this purpose.
3) 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.
4) An ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems in engineering applications.
5) An ability to use information technologies effectively.
6) Ability to design, conduct experiments, collect data, analyse, and interpret results to investigate complex engineering problems or discipline-specific research topics.
7) Ability to work effectively in disciplinary and multidisciplinary teams; ability to work individually.
8) Ability to communicate effectively in oral and written Turkish.
9) Knowledge of at least one foreign language.
10) Ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instructions.
11) Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology and ability to renew themselves.

Learning Activity and Teaching Methods

Bireysel çalışma ve ödevi
Course
Homework
Problem Çözme
Uygulama (Modelleme, Tasarım, Maket, Simülasyon, Deney vs.)

Measurement and Evaluation Methods and Criteria

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

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 0
Homework Assignments 1 % 30
Midterms 1 % 30
Final 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Aktiviteye Hazırlık Aktivitede Harçanan Süre Aktivite Gereksinimi İçin Süre Workload
Course Hours 14 3 42
Study Hours Out of Class 14 3 42
Homework Assignments 1 20 20
Midterms 1 20 20
Final 1 20 20
Total Workload 144