Production Management and Marketing Master Program

Operational Research İn Marketing(PM546)

Content
Course Code Course Name Semester Theory Practice Lab Credit ECTS
PM546 Operational Research İn Marketing 2 3 0 0 3 7
Prerequisites
Admission Requirements
Language of Instruction Turkish
Course Type Compulsory
Course Level Masters Degree
Course Instructor(s) AHMET FAHRİ NEGÜS afneg5932@gmail.com (Email)
Assistant
Objective Course objective is to give to the student an in-depth presentation of the tools and techniques of management science as applied to real-word problems. The subject matter includes decision analysis, goal programming, forecasting, PERT/CPM, game theory and simulation models.
Content 1) Integer and mixed integer programming.
2) Multi-objective optimization and goal programming.
3) Analytic hierarchy process.
4) Markov chains, transition matrix and prediction of future state.
5) Absorbing Markov chains and resolution of Markov chain problems with the use of computers.
6) Game theory. Representation of games, applications and challenges.
7) Graph theory in management and networks.
8) Project management. Technics of PERT and CPM
9) Systems, models and simulation technics.
Course Learning Outcomes At the end of the course, the studient will be able to :
1. Create a solution to multiobjective optimization problems with minimum deviations from goals to be achieved.
2. Find out optimal solution to the problems encountered, by performing quantitative decision techniques.
3. Estimate the situations and conditions in the future by using estimating methods as Markov analysis.
4. Develop a physical and financial plan of a project.
5. Set up the appropriate control method for the supervision of the project.
Teaching and Learning Methods
References Brémaud, Pierre. Markov chains : Gibbs fields, Monte Carlo simulation and queues. Springer, New York, 1999.
Forgo, Ferenc. Introduction to the theory of games: concepts , methods and applications. Kluwer Academics, Boston, 1999.
Haggstrom, Olle. Finite Markov chains and algoritmic applications. Cambridge University Press, New York, 2002.
Saaty, Thomas L. Models, methods, concepts and application of the Analytic Hierarchy Process. Kluwer Academics, Boston, 2001.
Timor, Mehpare. Yöneylem Araştırması ve İşletmecilik Uygulamaları, İstanbul : İ.Ü. Basımevi, 2001.
Print the course contents
Weekly Contents
Theory Topics
Week Weekly Contents
1 Integer and mixed integer programming.
2 Integer and mixed integer programming.
3 Multi-objective optimization and goal programming.
4 Multi-objective optimization and goal programming.
5 Analytic hierarchy process.
6 Markov chains, transition matrix and prediction of future state.
7 Absorbing Markov chains and resolution of Markov chain problems with the use of computers.
8 Midterm Exam 1.
9 Game theory. Representation of games, applications and challenges.
10 Graphic solution of games. Resolution of games as linear programming models.
11 Graph theory in management and networks.
12 Project management. Technics of PERT and CPM.
13 Project management. Technics of PERT and CPM.
14 Systems, models and simulation technics.
Practice Topics
Week Weekly Contents
Assessment System
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 2 50
Contribution of final exam to overall grade 1 50
Toplam 3 100
In-Term Studies
  Number Contribution
Assignments 1 25
Presentation 0 0
Midterm Examinations (including preparation) 1 25
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 2 50
Relation of Proficiency
No Program Learning Outcomes Contribution
1 2 3 4 5
1 Students will be able to use advanced theoretical and practical knowledge which they gained about marketing and related disciplines. X
2 In the discipline of the production management and marketing Students will be able to search basic problems with scientific methods, interpret and evaluate the data and create plans. X
3 Students will be able to take responsibility and produce solutions as an individual or to be a team member about complex problems which they can come across in business life unpredictably. X
4 Students will be able to use market opportunities for companies benefit via research findings. X
5 Students will be able to define regional and global subjects which affect the marketing discipline directly or indirectly, develop solutions or strategies which depend on evidence and researches.
6 Students will be able to detect and evaluate different problems in marketing area and use them in cross discipline studies.
7 Students will be able to have computer software and usage knowledge which are needed in production management and marketing. X
8 Students will be able to define company’s problems via using quantitative decision making techniques and present solutions. X
9 Students will be able to have academic thinking skills in production management and marketing. X
10 Students will be able to create innovative and pioneer marketing idea.
11 Students will be able to develop effective supply chain strategies via analyzing the development in logistics. X
12 Students will be able to have ethical values in marketing area and take action in the light of those values.
ECTS
Activities Number Period Total Workload
Class Hours 14 3 42
Working Hours out of Class 13 6 78
Assignments 1 15 15
Midterm Examinations (including preparation) 1 17 17
Final Examinations (including preparation) 1 23 23
Total Workload 175
Total Workload / 25 7,00
Credits ECTS 7
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