To teach basics of Linear Programming Models and Network Models and their solution techniques, how to create and apply the models to different business problems
20
Contribution of the Course to Professional Development
21
Learning Outcomes:
1
To know how to design linear programming models;
2
To apply the Linear Programming Models to production, logistics, human resources and etc kinds of problems ;
3
To apply the models to finance and investment problems; ;
4
To understand solution techniques of Linear Programming Models, to solve the models and to interpret the results in the context of business administration ;
5
To use software for creating and solving the models;
6
To understand the basic principles of network models and their applications and to solve this kind of problems;
7
To understand, model, analytically solve and interpret results of business problems;
22
Course Content:
Week
Theoretical
Practical
1
Basic principles and the structure of Linear Programming Models with Continuous and Discrete Variables
2
To create Linear Programming Models for production planning and business management problems
3
To create Linear Programming Models for financial and investment planning problems
4
To create Transport, Transshipment, Assignment, Travelling Salesman and Vehicle Routing Linear Programming Models for logistics planning problems
5
Graphic Method and Simplex Algorithm for Linear Programming Models with Continuous Variables, and Branch – Bound Algorithm for Linear Programming Models with Discrete Variables
6
To interpret the results in the context of economics and business administration
7
To solve the models with WinQSB and Excel Solver, to interpret the results in the context of economics and business administration
8
Sensitivity analysis in Linear Programming Models, creating Parametric Linear Programming Models and interpreting the results in the context of business administration
9
Fundamentals of Network Analysis
10
Minimum Spanning Tree problems, Shortest Path problems Minimum Cost Flow problems in business administration
11
Critical Path Method
12
Project Evaluation and Review Techniques
13
Resource Levelling
14
Presentations of students
23
Textbooks, References and/or Other Materials:
Wayne Winston, Operations Research Aydın Ulucan, Yöneylem Araştırması H.Tütek/Ş.Gümüşoğlu, Sayısal Yöntemler (Yönetsel Yaklaşım)
24
Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
0
0
Quiz
0
0
Homeworks, Performances
2
40
Final Exam
1
60
Total
3
100
Contribution of Term (Year) Learning Activities to Success Grade
40
Contribution of Final Exam to Success Grade
60
Total
100
Measurement and Evaluation Techniques Used in the Course
Information
25
ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
3
42
Practicals/Labs
0
0
0
Self Study and Preparation
14
3
42
Homeworks, Performances
2
30
60
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
0
0
0
Others
0
0
0
Final Exams
1
30
30
Total WorkLoad
174
Total workload/ 30 hr
5,8
ECTS Credit of the Course
6
26
CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
