
| Course Code | : ULT302 |
| Course Type | : Required |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 6 |
The aim of this course is to introduce the planning and modeling techniques necessary for the effective and efficient execution of logistics processes, enabling students to analyze real-world problems and develop solutions using mathematical models. Throughout the course, application areas and solution methods of mathematical models will be emphasized, enhancing analytical thinking skills in logistics decision-making processes.
Fundamental planning and mathematical modeling methods used in logistics processes will be examined.
| Assoc. Prof. Algın OKURSOY |
| 1. | Explains the strategic impact of planning logistics processes on business performance. |
| 2. | Designs a systematic mathematical modeling process for real-world logistics problems and defines model components. |
| 3. | Builds and solves appropriate optimization models for logistics processes such as demand forecasting, inventory management, transportation, assignment, and facility location. |
| 4. | Applies decision support techniques such as PERT, CPM, and queuing models in project scheduling and capacity analysis. |
| 5. | Analyzes system performance using simulation models under uncertainty in logistics systems and develops alternative scenarios. |
| 1. | Winston, W. L., Operations Research: Applications and Algorithms, Thomson Learning, 2004. |
| 2. | Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., Cochran, J. J., Fry, M. J., & Ohlmann, M. (2018). An introduction to management science: Quantitative approach (15th ed.). Cengage Learning. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 13 | 0 | 3 | 39 |
| Individual Work | 13 | 0 | 4 | 52 |
| Midterm Examination | 1 | 27 | 1 | 28 |
| Final Examination | 1 | 31 | 1 | 32 |
| TOTAL WORKLOAD (hours) | 151 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | |
OÇ-1 | 4 | 3 | 3 | 4 | 3 | 2 | 1 | 4 | 3 | 4 | 3 | 4 | |
OÇ-2 | 4 | 3 | 4 | 3 | 3 | 4 | 4 | 2 | 4 | 4 | 5 | 3 | |
OÇ-3 | 4 | 3 | 3 | 3 | 4 | 4 | 2 | 2 | 4 | 3 | 5 | 4 | |
OÇ-4 | 4 | 3 | 2 | 4 | 3 | 4 | 5 | 3 | 3 | 4 | 5 | 5 | |
OÇ-5 | 4 | 3 | 5 | 3 | 4 | 3 | 2 | 4 | 4 | 2 | 4 | 2 | |