OPERATIONS RESEARCH TECHNIQUES
- Course
- EMNT517 - OPERATIONS RESEARCH TECHNIQUES
- Department
- Engineering Management - English - Master
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 0
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
Course Description
Introduce students to developed techniques, methodologies and models used in Operations Research (OR). Operations Research (or Management Science) is a field of Applied Mathematics that uses mathematical methods and computers to make rational decisions in solving a variety of optimization problems. Most OR techniques require the use of computer software to solve large, complex problems in industry, business, science and technology, management, decision support and other areas and disciplines. In this course Deterministic Problems are considered – the data and future outcomes are known with certainty. Optimization of the solution is the primary goal. Matlab and Excel are used for representing and solving the problems.
OPERATIONS RESEARCH TECHNIQUES
Evaluation Tools (Active Term)
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Course outcomes
- 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
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Conversion of qualitative attributes to quantitative |
| Week 2 | Normalization methods |
| Week 3 | Evaluation of weights of attributes |
| Week 4 | SAW (Simple Additive Weighted) |
| Week 5 | TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) |
| Week 6 | ELECTRE (Elimination et Choice in Translating to Reality) |
| Week 7 | AHP (Analytic Hierarchy Process) |
| Week 8 | Midterm Exam |
| Week 9 | Grouping AHP & Revised AHP |
| Week 10 | ANP (Analytic Network Process) |
| Week 11 | Prioritization strategies |
| Week 12 | Article Presentations |
| Week 13 | Article Presentations |
| Week 14 | Article Presentations |
| Week 15 | Final Exam |
Reference Books & Course Materials
- 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
Learning Outcomes
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Program Outcomes
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