Information Package / Course Catalogue
Operations Research
Course Code: LGT102
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 4
Objectives of the Course

Introduction and practice to the students about Operations Research Stochastic Processes, Queuing Systems, Network Models, Dynamic Programming and Inventory Models

Course Content

Stochastic mathematical models, discrete-state, discrete time stochastic process. Time-dependent Markov chains, equilibrium conditions, steady-state analysis of the intuitive interpretation. Average number of steps first pass. Absorber (Absorber) chains. Queuing theory. Network models, PERT and CPM. Dynamic programming. Inventory Models

Name of Lecturer(s)
Lec. Durcan Özgün SARIOĞLU
Learning Outcomes
1.Understanding operations research as a scientific discipline and recognizing its benefits in the field of logistics
2.Understanding and analyzing optimization problems encountered in service and production systems
3.Learning the concept of linear programming and being able to formulate its decision model
4.Using the graphical and simplex tableau solution methods for decision models in linear programming
5.Understanding the concepts of duality, sensitivity analysis and shadow prices
6.Being able to obtain initial solutions for transportation problems.
7.Understanding assignment problems and their areas of application.
Recommended or Required Reading
1.Ahmet ÖZTÜRK, Yöneylem Araştırması, 17. Basım, Ekin Kitabevi, Bursa, 2021.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Operations Research [Historical Development, Definition, Objectives, Scientific Structure, Characteristics]
Week 2 - Theoretical
Introduction to Optimization and Modeling [Overview, The Role of Optimization in Operations Research, Definition of Optimization Problems, Modeling, Linear and Nonlinear Modeling]
Week 3 - Theoretical
The Concept of Decision Models [Problem Analysis, Definition of Variables, Understanding the Variables and Parameters of the Objective Function and Constraints, Interpretation of the Non-Negativity Condition]
Week 4 - Theoretical
Developing decision models for optimization problems involving maximization and minimization objectives.
Week 5 - Theoretical
Applying the graphical solution method to analyze and solve linear programming models with two variables
Week 6 - Theoretical
Solving Linear Programming Problems Using the Simplex Algorithm
Week 7 - Theoretical
Duality in Linear Programming: Interpretation of the Dual Model
Week 8 - Theoretical
Measurement and Evaluation Lesson (exam) and Solutions
Week 9 - Theoretical
Formulating the dual of a given primal decision model in linear programming.
Week 10 - Theoretical
Sensitivity Analysis and the Concept of Shadow Prices in Decision Models
Week 11 - Theoretical
Initial Basic Feasible Solution Methods in Transportation Models
Week 12 - Theoretical
Finding Initial Basic Feasible Solutions for Transportation Models (Sample Problem Solutions)
Week 13 - Theoretical
Allocation Problems
Week 14 - Theoretical
Goodness-of-fit test in a transportation model
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142142
Lecture - Practice142028
Assignment101313
Midterm Examination1617
Final Examination110111
TOTAL WORKLOAD (hours)101
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
PÇ-14
OÇ-1
3
2
2
3
2
2
4
OÇ-2
3
2
2
3
2
2
4
OÇ-3
3
2
2
3
2
2
4
OÇ-4
3
2
2
3
2
2
4
OÇ-5
3
2
2
3
2
2
4
OÇ-6
3
2
2
3
2
2
4
OÇ-7
Adnan Menderes University - Information Package / Course Catalogue
2026