Faculty of Engineering and Natural Sciences · Industrial Engineering (English 30%) · Undergraduate
Course Objective
The teaching of the theory and solution procedures of Integer Programming, Goal Programming, Dynamic Programming, Inventory Models, and Queueing Models, thereby ensuring that management policies and activities are determined scientifically.
Course Content
Integer Linear Programming and Algorithms; Goal Programming, Dynamic Programming, Deterministic Stock Models; Queueing Theory and Queueing Models
Required Resources
1- Lecture Notes
2- Winston W.L. (2004) “Operations Research: Applications and Algorithms”, Brooks/Cole – Thomson Learning
Recommended Resources
1- Öztürk, Ahmet (2016) "Yöneylem Araştırması 16. Baskı", Ekin Basın Yayım ve Dağıtım
2- Taha H.A. (2003) "Operations Research: An Introduction", Pearson
3- Taha H.A. (2000) "Yoneylem Arastirmasi", Literatur Yayincilik (cev. Alp Baray and Sakir Esnaf)
4- Taylor B.W. III (2002) "Introduction to Management Science", Pearson.
Core Area Distribution
Teaching Methods
Assessment & Evaluation
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 16 | 3 | 48 |
| Out of Class Study Period | 16 | 2 | 32 |
| Midterm | 2 | 12 | 24 |
| Quiz | 0 | 0 | 0 |
| Assignment | 1 | 8 | 8 |
| Practice | 0 | 0 | 0 |
| Final | 1 | 26 | 26 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | Course Introduction, Integer Linear Programming Problems | Lecture Notes |
| 2 | Integer Linear Programming Problems | Lecture Notes |
| 3 | Integer Linear Programming Models and Solution Methods, Branch-and-Bound Algorithm | Lecture Notes |
| 4 | Integer Linear Programming Models and Solution Methods, Cutting Plane Algorithm | Lecture Notes |
| 5 | Formulation of goal programming models | Lecture Notes |
| 6 | Solution of goal programming models | Lecture Notes |
| 7 | Deterministic Dynamic Programming | Lecture Notes |
| 8 | Midterm Exam | . |
| 9 | Deterministic Dynamic Programming, Stochastic Dynamic Programming | Lecture Notes |
| 10 | Stochastic Dynamic Programming | Lecture Notes |
| 11 | Deterministic Inventory Models | Lecture Notes |
| 12 | Deterministic Inventory Models, MIDTERM EXAM | Lecture Notes |
| 13 | Introduction to Queueing Theory and Queueing Systems: Basic Components of Queueing Models, The Role of Exponential Distribution | Lecture Notes |
| 14 | Pure Birth and Death Models; Generalized Poisson- Queuing Models | Lecture Notes |
| 15 | Special Poisson Queueing Models; Steady-State Performance Measures, Single-Channel Queues | Lecture Notes |
| 16 | Final Exam | . |