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Description of Individual Course Units| Course Unit Code | Course Unit Title | Type of Course Unit | Yıl | Semester | Number of ECTS Credits | | 200401307001 | DECISION MAKING METHODS | Elective | 4 | 7 | 0 |
| | Dersin Seviyesi | | Lisans | | Dersin Amacı | | It is aimed to acquire effective decision-making knowledge and skills, and to gain competence and equipment for the acquisition and application of numerical methods used in managerial decision making. | | Name of Lecturer(s) | | | Learning Outcomes | | 1 | Gains the ability to make managerial decisions | | 2 | Uses quantitative methods effective in making managerial decisions. | | 3 | Defines the concept of cost and profit optimization. | | 4 | Explain numerical methods with administrative methods. |
| | Mode of Delivery | | Daytime Class | | Prerequisites and co-requisities | | Non | | Recommended Optional Programme Components | | | Dersin İçeriği | | The concept of decision, factors affecting and limiting decision making, quantitative methods used in making decisions in businesses, decision problems, decision making models, decision making, numerical decision making methods are the content of the course. | | Weekly Detailed Course Contents | |
| 1 | Decisions and models; structure of decision problems, purpose of decision, decision activities, uncontrollable activities | | | | 2 | Uncertainty, uncertainty and risk, constraints, decision process | | | | 3 | Model building and linear programming; Assumptions and definitions related to linear programming, properties of linear programming problem | | | | 4 | Examples of the establishment of the linear programming model, the graphical solution technique of the linear programming model | | | | 5 | Linear programming simplex method; standard and canonical forms, simplex method, types of simplex method applications; disruption unlimited solutions, optimal solution with options, no suitable solution found | | | | 6 | Linear programming duality and sensitivity analysis; Definition of dual problem, propositions about primal and dual problems, dual simplex method, economic explanation of dual problem and shadow prices | | | | 7 | Sensitivity analysis; change in cost row vector, change in column vector to the right of the constraining equation | | | | 8 | Changing the constraint equation matrix, adding an activity, adding a new constraint. Mathematical model of the transportation problem, balanced and unbalanced transportation problems | | | | 9 | Midterm | | | | 10 | Transportation algorithm (solution technique); northwest corner method, least cost-to-eye method Vogel approach | | | | 11 | Finding the most suitable solution; stepping stone method, reproducing method, deterioration situation and solution, optimal solutions with options | | | | 12 | Maximization type transportation problems, sensitivity analysis in transportation models, sensitivity in costs | | | | 13 | Maximum Flow Problems | | | | 14 | Supply sensitivity, demand sensitivity, assignment model and the closest approximation method for the traveling salesman problem. | | |
| | Recommended or Required Reading | | Karar Verme Yöntemleri-Kaan Yaralıoğlu-Detay Yayıncılık
Çok Kriterli Karar Verme Yöntemleri-Bahadır Fatih Yıldırım, Emrah Önder-Dora Yayıncılık | | Planned Learning Activities and Teaching Methods | | | Değerlendirme | |
| Midterm Examination | 1 | 70 | | Individual Study for Mid term Examination | 1 | 30 | | TOPLAM | 100 | |
| Final Examination | 1 | 70 | | Individual Study for Final Examination | 1 | 30 | | TOPLAM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | TOPLAM | 100 |
| | Dersin Sunulduğu Dil | | | Staj Durumu | |
| | İş Yükü Hesaplaması | |
| Midterm Examination | 1 | 1 | 1 | | Final Examination | 1 | 1 | 1 | | Individual Study for Mid term Examination | 1 | 1 | 1 | | Individual Study for Final Examination | 1 | 1 | 1 | |
| Program ve Öğrenme Çıktıları İlişkisi | | ÖÇ1 | 4 | 4 | 4 | 4 | 3 | 4 | | ÖÇ2 | 3 | 4 | 4 | 3 | 4 | 3 | | ÖÇ3 | 4 | 4 | 3 | 3 | 4 | 3 | | ÖÇ4 | 4 | 3 | 3 | 4 | 4 | 4 |
| | * Katkı Düzeyi : 1 Çok düşük 2 Düşük 3 Orta 4 Yüksek 5 Çok yüksek |
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
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