Information Package / Course Catalogue
Simulation in Supply Chain and Logistics
Course Code: LYM514
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

Teach fundamentals of modeling and simulation for static and dynamic systems, Teach a simulation software (ARENA), Familiarize with applications in logistics management and logistics operations, Provide handson experience of both analytical and modeling aspects of simulation, Provide tools for analyzing input distributions and processes, methods for generating random numbers and processes, statistical analysis of output, experimental design and optimizing simulation models.

Course Content

This course aims to teach fundamentals of modeling and simulation with applications in logistics management and logistics operations. Emphasis is placed on handson experience of both analytical and modeling aspects of simulation. Analysis topics include input distributions and processes, methods for generating random numbers and processes, statistical analysis of output, experimental design and optimizing simulation models. Modeling topics include model construction for static or dynamic systems, issues about level of detail, the simplifying assumptions, model validation and verification using a highlevel modeling package.

Name of Lecturer(s)
Learning Outcomes
1.Student will be able to analyze real life logistics systems.
2.Student will be able to guide business decisions using simulation.
3.Student will be able toevaluate possible outcomes in the business environment using simulation.
4.Student will be able to model real life logistics system.
5.Student will be able to optimize real life logistics systems.
Recommended or Required Reading
1.Additional Reference Books DiscreteEvent System Simulation, 4/E, J Banks, J Carson, B L. Nelson, D Nicol, Prentice Hall, 2005. Web Sites İnternet Sitesi Academic Journals Akademik dergiler
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to simulation
Week 2 - Theoretical
Simulation examples and general principles
Week 3 - Theoretical
Simulation software Introduction to Arena
Week 4 - Theoretical
Arena ile ilgili Ana Bilgiler
Week 5 - Theoretical
Ana olasılık ve istatistik tekrarı / Rastgele sayılar ve rastgele değişkenler
Week 6 - Theoretical
Queuing Models / Input Data Analysis
Week 7 - Theoretical
Modeling basic operations and inputs with Arena
Week 8 - Theoretical
Modeling basic operations and inputs with Arena (continued)
Week 9 - Intermediate Exam
Midterms
Week 10 - Intermediate Exam
Midterms
Week 11 - Theoretical
Modeling basic operations and inputs with Arena (continued)
Week 12 - Theoretical
Modeling detailed operations with Arena
Week 13 - Theoretical
Modeling detailed operations with Arena
Week 14 - Theoretical
Verification and Validation of Simulation Models
Week 15 - Theoretical
Output Analysis with Arena
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
5
2
1
2
2
3
3
3
OÇ-2
3
3
4
4
5
5
3
3
3
OÇ-3
2
3
3
5
5
4
5
2
2
3
OÇ-4
3
3
5
4
5
3
3
2
2
OÇ-5
3
3
4
5
5
5
5
3
2
5
Adnan Menderes University - Information Package / Course Catalogue
2026