Learning Outcomes
The purpose of this course is to introduce the students to the basic concepts of Operations Research techniques that help companies to solve common real life problems. Additionally advanced techniques and algorithms that help companies as members of a supply chain to improve their performance are also presented. The main target of this course is to help students learn how to model, analyze and finally solve such problems.
Course Content (Syllabus)
Week 1 Introduction to Linear Programming (LINDO, sensitivity analysis, duality)
Week 2: Modeling and solving Transportation and transhipment problems with LINDO
Week 3 &4 Integer Programming, Branch and bound, cut and plain methods
Week 5 & 6 Non linear Programming techniques
Week 7 & 8 Game Theory
Week 9 Goal programming
Week 10 & 11 Heuristics for the Traveling Salesman Problem
Week 12 Decision making models
Week 13 Multicriteria analysis
Additional bibliography for study
Προτεινόμενα Συγγράμματα:
[1] Frederick Hillier, Gerald Lieberman ‘’Introduction to Operations Research’’, Eighth edition 2010 Mc Graw –Hill, ISBN:0073017795.
[2] David R. Anderson , Dennis J. Sweeney , Thomas A. Williams , Jeffrey D. Camm), R. Kipp Martin, ''An Introduction to Management Science: Quantitative Approaches to Decision Making'', ISBN-13: 978-1111532222 ISBN-10: 1111532222
[3] Hamdy Taha, ‘’ Operations Research: An Introduction (9th Edition)’’, 2011 Prentice Hall, ISBN-10: 013255593X