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)
No evaluation items have been defined.
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
No learning outcomes have been defined.
Program Outcomes
- P01 PO1: Become knowledge workers who whose focus will be on continuous learning as their competitive advantage by learning new methods and skills which they can use both in their lives and workplace, especially in health sector.
- P02 PO2: Developed various skills and acquired the necessary knowledge which are required to keep improving themselves by working independently.
- P03 PO3: Become among the best professionals in the health care industry due to their developed skills and gathered knowledge which will set them apart from the competition.
- P04 PO4: Been able to apply appropriate methods and analytical procedures to analyze health-related issues faced by the organizations and empirically investigate and propose creative and valid solutions based on this analysis.
- P05 PO5: Learnt to use technology in class and research in an ethical and secured manner by implementing these skills in their professional and private lives.
- P06 PO6: Gained the ability to apply theories and use appropriate management tools and methods collaboratively in order to develop strategic decisions which are specific to unique health management contexts.
- P07 PO7: Practiced and mastered communicating effectively, both verbally and in writing, with individuals from different cultures within and outside the academia and organizations.
- P08 PO8: Been able to implement the learnt skills and knowledge, by developing research-based solutions to current regional and global health issues.
- P09 PO9: Developed enthusiasm and awareness about the environment by associating health and management theories with ethical and environmental approaches in order to further study and investigate critical health managerial issues.
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