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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
-
Keywords

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

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

  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. P01 PO1 Been able to demonstrate their learned skills and knowledge regarding business related issues and research which they can use continuously in their personal and business life.
  2. P02 PO2 Obtained theoretical and practical information from the courses that allowed students to learn and work independently.
  3. P03 PO3 Been ensured that they learnt by increasing their level of knowledge and skills which are necessary in their field.
  4. P04 PO4 Increased their creativity and analytical thinking and developed crucial skills which are needed to be applied both in their studies, research, and future careers.
  5. P05 PO5 Adopted and implemented ethical principles and moral values regarding the use of technology in their studies and professional lives by creating an awareness on using the technological imperatives.
  6. P06 PO6 Designed their theoretical and practical knowledge in a way that they could make use of in a collaborative usage and various working contexts.
  7. P07 PO7 Enrolled in intercultural or international projects which could provide opportunities to develop their skills and implement them successfully in their studies, research and future careers.
  8. P08 PO8 Improved their communication skills successfully and been able to implement them in various international education, research and work context by increasing their social capital.
  9. P09 PO9 Been able to implement their learnt knowledge and research skills into practice through scenarios, case studies, empirical articles and real-life observations.
  10. P10 PO10 Created awareness and developed ethical undertaking by incorporating the learnt theories with environmental approaches to be further implemented into their research and careers.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 Average
L01 - - - - - - - - - - -
L02 - - - - - - - - - - -
L03 - - - - - - - - - - -
L04 - - - - - - - - - - -