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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
LOJ 118LOGISTICS AND OPTIMIZATION3 + 03rd Semester5

COURSE DESCRIPTION
Course Level Associate's Degree
Course Type Compulsory
Course Objective Upon successful completion of this course, students will be able to analyze complex managerial problems and be able to apply a holistic approach
Course Content Concept of Operations Research / Modeling / Optimization Problems Logistics / Transportation Model / Route Optimization / Vehicle Loading Optimization / Inventory Optimization
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.

COURSE LEARNING OUTCOMES
1To understand the basic concepts of Logistics and Logistics Sciences to establish a relationship between the different disciplines
2Watch today the development of logistics activities and policies to follow
3Logistic related fields to be used in the foundation documents
4To understand the reasons of logistics enterprises existing
5Knowing the basic logistics activities and to be proficient in the basic legislation on these issues

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 00154 55      
LO 00254 55      
LO 00354 55      
LO 00454 55      
LO 00554 55      
Sub Total2520 2525      
Contribution54055000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Mid-terms12525
Final examination15050
Presentation / Seminar Preparation11313
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2025-2026 Fall1NİGAR KARAGÜL


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester Mode of Delivery
LOJ 118 LOGISTICS AND OPTIMIZATION 3 + 0 1 Turkish 2025-2026 Fall Face to Face
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Lecturer NİGAR KARAGÜL ntokat@pau.edu.tr HMYO A0127 %70
Goals Upon successful completion of this course, students will be able to analyze complex managerial problems and be able to apply a holistic approach
Content Concept of Operations Research / Modeling / Optimization Problems Logistics / Transportation Model / Route Optimization / Vehicle Loading Optimization / Inventory Optimization
Topics
WeeksTopics
1 Linear Decision Model Linear Programming Examples
2 Basics of Linear Programming Theory Approach to the Solution of Linear Decision Model
3 Basics of Linear Programming Theory Approach to the Solution of Linear Decision Model
4 Simplex Algorithm Extract Simplex Algorithm Using Artificial Variables
5 -Dual-Linear Decision Model -Relationships between original and dual-Models - Bilateral Economic Meaning of Variables - Completion of the one loaf Feature - Dual Simplex Algorithm
6 -Dual-Linear Decision Model -Relationships between original and dual-Models - Bilateral Economic Meaning of Variables - Completion of the one loaf Feature - Dual Simplex Algorithm
7 -Dual-Linear Decision Model -Relationships between original and dual-Models - Bilateral Economic Meaning of Variables - Completion of the one loaf Feature - Dual Simplex Algorithm
8 -Dual-Linear Decision Model -Relationships between original and dual-Models - Bilateral Economic Meaning of Variables - Completion of the one loaf Feature - Dual Simplex Algorithm
9 Midterm
10 Involvement in Decision-Linear Model Analysis - The sensitivity analysis of parameters Farklılaştırıması - According to the model to change the sensitivity analysis
11 Involvement in Decision-Linear Model Analysis - The sensitivity analysis of parameters Farklılaştırıması - According to the model to change the sensitivity analysis
12 Involvement in Decision-Linear Model Analysis - The sensitivity analysis of parameters Farklılaştırıması - According to the model to change the sensitivity analysis
13 - Transport Model - Transport Model for the Sensitivity Analysis - Transmitted Transport Model - Assignment Model - Shortest Route Problem - Most young Propagation Problem - Largest Flow Problems
14 - Transport Model - Transport Model for the Sensitivity Analysis - Transmitted Transport Model - Assignment Model - Shortest Route Problem - Most young Propagation Problem - Largest Flow Problems
Materials
Materials are not specified.
Resources
ResourcesResources Language
YÖNEYLEM ARAŞTIRMASI, ALPTEKİN ESİNTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes