OPERATIONS RESEARCH I

Course Information
TitleΕΠΙΧΕΙΡΗΣΙΑΚΗ ΕΡΕΥΝΑ Ι / OPERATIONS RESEARCH I
Code125
FacultyEngineering
SchoolMechanical Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorDimitrios Vlachos
CommonYes
StatusActive
Course ID20000306

Programme of Study: UPS of School of Mechanical Engineering

Registered students: 249
OrientationAttendance TypeSemesterYearECTS
CoreCompulsory Course536
Class Information
Academic Year2021 – 2022
Class PeriodWinter
Faculty Instructors
Weekly Hours5
Class ID
600192505
Course Type 2016-2020
  • Background
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Examination)
Prerequisites
Required Courses
  • 101 CALCULUS I (MATHEMATICS I)
Learning Outcomes
• The knowledge of the basic mathematical programming (Linear and Non-linear) concepts and methods. • The ability to model a real-world operational problem by the development of the appropriate mathematical programming model. • The ability to solve mathematical programming models by employing the appropriate operations research methodologies and algorithms. • The ability to handle data and solve mathematical programming models using computer software. • The ability to perform sensitivity/"what-if" analyses on the results of operations research problems. • The ability to interpret the results of an operations research problem's solution.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work in an international context
Course Content (Syllabus)
Introduction to optimization, mathematical programming models, variables, objective function parameters, constraints. Linear programming theory, graphical solution, Simplex method, dual theory, and sensitivity analysis. Transportation algorithm, assignment algorithm, transshipment algorithm. Linear programming problem solving using computer software.Integer programming. Non-linear programming. Classic methods for solving non-linear models (with or without constraints), Karush-Kuhn-Tucker (KKT) conditions. Non-linear programming applications. Multi-objective linear programming. Goal programming. Decision Making.
Keywords
Linear Programming, Integer Programming, Non-linear Programming
Educational Material Types
  • Notes
  • Slide presentations
  • Book
  • Computer software
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Description
MS Powerpoint presentations. Cases solved with Lindo or Excel Solver
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3
Reading Assigment692.3
Tutorial260.9
Interactive Teaching in Information Center401.3✓
Exams60.2
Other / Others
Total1806
Student Assessment
Description
Final written exams. Assignment (optiοnal)
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Παντελής Υψηλάντης, Επιχειρησιακή Έρευνα, 5η έκδοση, 2015, Εκδόσεις Προπομπός 2. Οικονόμου Γεώργιος, Γεωργίου Ανδρέας, Επιχειρησιακή Έρευνα Για Τη Λήψη Διοικητικών Αποφάσεων, 2016, Εκδόσεις Γεωργία Σωτ. Μπένου 3. Anderson D.R., Sweeney D.J., Williams T.A., Kipp M., Διοικητική Επιστήμη, 2014, Εκδόσεις Κριτική. 4. Μανώλης Λουκάκης, Γραμμικός Προγραμματισμός, 2010, Εκδόσεις Σοφία 5. Taha A.H. Εισαγωγή στην Επιχειρησιακή Έρευνα, 10η Έκδοση, 2017, Εκδόσεις Α. Τζιόλα & υιοί ΑΕ
Additional bibliography for study
1. Hillier, F. S. and Lieberman, G. J., Introduction to Operations Research, McGraw-Hill, 9th ed., 2010. 2. Taha, H. A., Operations Research: An Introduction, Pearson Education, 9th ed., 2010.
Last Update
11-12-2020