Information Package / Course Catalogue
Quantitative Methods in Logistics Management
Course Code: LYM517
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

This course aims at teaching a variety of methods useful in solving management problems in logistics activities so that the students can gain a quantitative foundation in basic mathematical modelling and problem solving that will be helpful in the higher level courses such as Design and Analysis of Logistics Systems and Simulation in Supply Chain and Logistics.

Course Content

The main emphasis of the course is how to model a managerial problem using mathematical modelling (Linear programming and Integer programming). Many examples from different application areas are given. Solution techniques for some special problems are discussed.

Name of Lecturer(s)
Learning Outcomes
1.will be able to learn how to analyse complex management problems
2.will be able to learn how to apply the systems approach to complex management problems
3.will be able to solve public and private business decision making problems via linear and integer mathematical optimization models
4.will be able to solve complex mathematical models by means of computer software
5.will be able to interpret the solutions of mathematical optimization models
Recommended or Required Reading
1.Course notes and reading material, Operations Research Applications and Algorithms, Wayne L. Winston, Fourth Edition, Thomson Books
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Modelling
Week 2 - Theoretical
Modelling with Linear Programming
Week 3 - Theoretical
Modelling with Linear Programming
Week 4 - Theoretical
Modelling with Linear Programming: Solving examples of linear programming models
Week 5 - Theoretical
Integer Linear Programming Models
Week 6 - Theoretical
Integer Linear Programming Models
Week 7 - Theoretical
Integer Linear Programming Models
Week 8 - Theoretical
Linear Programming Transportation Models
Week 9 - Intermediate Exam
Midterms
Week 10 - Intermediate Exam
Midterms
Week 11 - Theoretical
Network Optimization Models
Week 12 - Theoretical
Network Optimization Models
Week 13 - Theoretical
Network Optimization Models
Week 14 - Theoretical
Decision Making Models
Week 15 - Theoretical
Decision Making Models
Week 16 - Final Exam
Finals
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory130339
Reading130226
Midterm Examination125126
Final Examination135136
TOTAL WORKLOAD (hours)127
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
OÇ-1
4
3
3
2
4
2
2
2
5
OÇ-2
3
3
5
4
2
2
4
2
2
4
OÇ-3
3
3
4
4
2
2
1
4
2
3
OÇ-4
4
2
2
4
3
5
1
1
4
OÇ-5
5
5
5
4
2
3
4
3
3
4
Adnan Menderes University - Information Package / Course Catalogue
2026