Information Package / Course Catalogue
Simulations and Logistics Applications
Course Code: ULT407
Course Type: Area Elective
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 teach the basic concepts of modeling and simulation in logistics systems and to enable students to gain knowledge and skills in discrete-event simulation, queueing models, input analysis, output analysis, model verification, and scenario evaluation. Within the scope of the course, students are expected to build models of logistics operations using simulation software such as ARENA, analyze system performance, and develop alternative solution scenarios.

Course Content

This course covers the basic principles of modeling and simulation in logistics systems, discrete-event simulation, queueing models, determination of input distributions, random number and random variate generation, model verification and validation, statistical analysis of outputs, scenario comparisons, and experimental design. In addition, simulation models related to warehouse, queueing, service, inventory, and basic logistics operation processes are developed using ARENA software, and system performance is analyzed.

Name of Lecturer(s)
Learning Outcomes
1.Explain the basic concepts of modeling and simulation in logistics systems.
2.Analyze real-life logistics systems and define processes, resources, queues, data, and performance indicators for a simulation model.
3.Build logistics operation models in simulation software such as ARENA using the discrete-event simulation approach.
4.Evaluate input distributions, randomness components, output analyses, verification, and validation processes in simulation models.
5.Compare alternative scenarios in logistics systems through simulation, interpret system performance, and develop solution recommendations.
Recommended or Required Reading
1.Ersöz, F. (2021). Benzetim ve Modelleme: Simülasyon – Model Kurma – Sistem Simülasyonu (3. Baskı). Seçkin Yayıncılık.
2.Altiok, T., & Melamed, B. (2007). Simulation Modeling and Analysis with ARENA. Elsevier / Academic Press.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to simulation and its application areas in logistics systems
Week 2 - Theoretical
Concepts of system, model, and simulation; static, dynamic, deterministic, and stochastic systems
Week 3 - Theoretical
Queueing models and logistics service systems
Week 4 - Theoretical
Discrete-event simulation: concepts of event, entity, resource, queue, and process
Week 5 - Theoretical
Stages of a simulation study: problem definition, conceptual model, assumptions, and data requirements
Week 6 - Theoretical
Input analysis: data collection, probability distributions, and distribution fitting
Week 7 - Theoretical
Random number generation, random variate generation, and determination of the number of replications
Week 8 - Theoretical
Introduction to ARENA software: interface, basic modules, entity, resource, and process definitions
Week 9 - Theoretical
Modeling basic operations with ARENA: arrivals, service times, queues, and resource constraints
Week 10 - Intermediate Exam
Modeling logistics operations with ARENA: warehouse, handling, shipment, and service processes
Week 11 - Theoretical
Model verification, model validation, warm-up period, and run length determination
Week 12 - Theoretical
Simulation output analysis: performance indicators, confidence intervals, and scenario comparisons
Week 13 - Theoretical
Modeling inventory management and logistics systems with ARENA
Week 14 - Theoretical
Experimental design, optimization, and general evaluation of logistics simulation applications
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%5
Midterm Examination1%35
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory130339
Assignment1516
Individual Work130452
Midterm Examination127128
Final Examination129130
TOTAL WORKLOAD (hours)155
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
OÇ-1
4
3
3
4
3
2
2
2
OÇ-2
4
5
4
5
4
4
3
1
OÇ-3
3
4
4
5
5
3
3
2
OÇ-4
3
4
4
5
4
3
4
2
OÇ-5
4
5
5
5
4
4
4
2
Adnan Menderes University - Information Package / Course Catalogue
2026