Information Package / Course Catalogue
Logistics Planning and Modelling
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
Objectives of the Course

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.

Course Content

Fundamental planning and mathematical modeling methods used in logistics processes will be examined.

Name of Lecturer(s)
Assoc. Prof. Algın OKURSOY
Learning Outcomes
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.
Recommended or Required Reading
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.
Weekly Detailed Course Contents
Week 1 - Theoretical
Importance of Logistics Planning and Basic Concepts
Week 2 - Theoretical
Mathematical Modeling and Modeling Processes
Week 3 - Theoretical
Supply Chain Management and Network Design
Week 4 - Theoretical
Demand Forecasting Methods: Simple Linear Regression
Week 5 - Theoretical
Demand Forecasting Methods: Seasonality and Time Series
Week 6 - Theoretical
Inventory Management and Deterministic Inventory Models
Week 7 - Theoretical
Warehouse Planning and Management
Week 8 - Theoretical
Project Management: PERT and CPM Techniques
Week 9 - Theoretical
Facility Location Selection - Strategic Importance and Methods
Week 10 - Theoretical
Transportation Problems and Their Modeling
Week 11 - Theoretical
Assignment Problems and Their Modeling
Week 12 - Theoretical
Fleet Management and Vehicle Routing Problems
Week 13 - Theoretical
Vehicle Loading Problems and Models
Week 14 - Theoretical
Simulation and Queuing Models
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory130339
Individual Work130452
Midterm Examination127128
Final Examination131132
TOTAL WORKLOAD (hours)151
Contribution of Learning Outcomes to Programme Outcomes
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
Adnan Menderes University - Information Package / Course Catalogue
2026