OPERATIONS RESEARCH TECHNIQUES

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

1. 01 Formulate a real-world problem as a mathematical programming model. Implement and solve the model in EXCEL and LINDO.
2. 02 Understand the theoretical workings of the simplex method for linear programming and perform iterations of it by hand
3. 03 Perform sensitivity analysis to determine the direction and magnitude of change of a model’s optimal solution as the data change.
4. 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.
5. 05 Understand the applications of, basic methods for, and challenges in integer programming and other programming

Course Syllabus

Reference Books & Course Materials

1. 01 A Handbook on Multi-Attribute Decision-Making Methods, Wiley Series in Operations Research and Management Science, 2021
2. 02 Multiple Attribute Decision Making Methods and applications, Gwo-Hshiung Tzeng Jih-Jeng Huang, CRC Press Taylor & Francis Group, 2011
3. 03 New Methods and Applications in Multi-Attribute Decision-Making, Alireza Alinezhad, Springer

Learning Outcomes

1. L01 Define quantitative and qualitative attributes SOLO 2
2. L02 Calculate normalized matrices and weights of attributes SOLO 2
3. L03 Develop a decision-making problem considering alternatives, attributes and sub-attributes. SOLO 5
4. L04 Compute decision-making problems using decision-making methods. SOLO 3

Program Outcomes

1. Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledgein these areas in complex engineering problems
2. Ability to identify, formulate, and solve complex environmental problems; ability to select and apply proper analysis and modeling methods for this purpose.
3. Ability to design and conduct experiments, gather data, analyze and interpret results for investigating environmental problems or discipline specific research questions.
4. Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
5. Ability to communicate effectively in English, both orally and in writing; knowledge of a minimum of one foreign language
6. Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
7. Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
8. Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
9. Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

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