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)

No evaluation items have been defined.

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. Based on bachelor's-level qualifications, be able to develop and deepen knowledge at the level of specialization in the same or a different field.
2. Should be able to understand and appreciate the interdisciplinary interactions related to their field.
3. Should be able to apply expert-level theoretical and practical knowledge acquired in their field.
4. Should be able to integrate knowledge from their field with knowledge from other disciplines, interpret it, and generate new knowledge.
5. Should be able to resolve problems encountered in their field through the application of appropriate research methods.
6. Should be able to independently carry out research or professional work that requires expertise in their field.
7. Should be able to develop innovative strategic approaches for resolving complex and unpredictable problems encountered in their field of practice and take responsibility for producing effective solutions.
8. Should be able to demonstrate leadership in environments where solving problems related to their field is required.
9. Should be able to critically assess the advanced knowledge and skills acquired in their field and manage their own learning processes.
10. Should be able to systematically present current developments in their field and their own studies, supported by quantitative and qualitative data, to both disciplinary and non-disciplinary audiences through written, oral, and visual communication.
11. Should be able to critically analyze and enhance social relationships and the norms that shape these relationships, and initiate actions aimed at their transformation when necessary.
12. Should be able to communicate effectively through oral and written communication in at least one foreign language at the B2 level of the Common European Framework of Reference for Languages (CEFR).
13. Should be able to utilize information and communication technologies and relevant computer software at an advanced level appropriate to the requirements of their field.
14. Should be able to manage and evaluate the processes of collecting, interpreting, applying, and communicating data related to their field in accordance with social, scientific, cultural, and ethical values, and promote the understanding of these values.
15. Should be able to develop strategies, policies, and action plans in areas related to their field and assess the results obtained in accordance with quality assurance processes.
16. Should be able to apply the advanced knowledge acquired in their field, along with problem-solving and application skills, in interdisciplinary studies.

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