OPERATİONS RESEARCH TECHNİQUES

Ders Açıklaması

Değerlendirme öğesi tanımlanmamış.

01 Formulate a real-world problem as a mathematical programming model. Implement and solve the model in EXCEL and LINDO.
02 Understand the theoretical workings of the simplex method for linear programming and perform iterations of it by hand
03 Perform sensitivity analysis to determine the direction and magnitude of change of a model’s optimal solution as the data change.
04 Solve specialized linear programming problems like the transportation and assignment problems.Solve network models like the shortest path, minimum spanning tree, and maximum flow problems.
05 Understand the applications of, basic methods for, and challenges in integer programming and other programming

Hafta	Konu
Hafta 1	Conversion of qualitative attributes to quantitative
Hafta 2	Normalization methods
Hafta 3	Evaluation of weights of attributes
Hafta 4	SAW (Simple Additive Weighted)
Hafta 5	TOPSIS (Technique for Order Performance by Similarity to Ideal Solution)
Hafta 6	ELECTRE (Elimination et Choice in Translating to Reality)
Hafta 7	AHP (Analytic Hierarchy Process)
Hafta 8	Midterm Exam
Hafta 9	Grouping AHP & Revised AHP
Hafta 10	ANP (Analytic Network Process)
Hafta 11	Prioritization strategies
Hafta 12	Article Presentations
Hafta 13	Article Presentations
Hafta 14	Article Presentations
Hafta 15	Final Exam

01 A Handbook on Multi-Attribute Decision-Making Methods, Wiley Series in Operations Research and Management Science, 2021
02 Multiple Attribute Decision Making Methods and applications, Gwo-Hshiung Tzeng Jih-Jeng Huang, CRC Press Taylor & Francis Group, 2011
03 New Methods and Applications in Multi-Attribute Decision-Making, Alireza Alinezhad, Springer

Öğrenme çıktısı tanımlanmamış.

Program çıktısı tanımlanmamış.

PÇ-ÖÇ matrisi henüz doldurulmamış.