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Introduction to Operations Research

Objectives

In this course Engineering students are introduced to the first concepts of Operations Research. The course will introduce students to the following O.R. subjects: Linear Programming, Decision Theory, Queueing theory and Simulation.

General characterization

Code

8575

Credits

6.0

Responsible teacher

Ruy Araújo da Costa

Hours

Weekly - 4

Total - 56

Teaching language

Português

Prerequisites

Students are required to have basic knowledge of Linear Algebra and Probability Theory.

Bibliography

1. Introduction to Operations Research (1990 - 5ªEd.), Hillier, Lieberman - Mc Graw Hill
2. Operations Research - An Introduction(1992 - 5ª Ed.) Taha - Prentice Hall
3. "Elementos de apoio às aulas de IIO", "Enunciados de Exercícios de IIO", Ruy A. Costa 
4. Investigação Operacional (1996), Valadares Tavares et al - Mc Graw Hill   


Teaching method

In one of the theoretical classes ENGLISH will be used if there is at least one non-Portuguese speaking student. 

Basic concepts will be introduced in lectures ("aulas teóricas") and problems will be solved in problem solving classes ("Aulas práticas").

Moodle e-learning platform will be used to carry out weekly learning activities.

Evaluation method

For full details please access the pdf file in Documentação de Apoio > Outros

For further information, you should contact Prof. Ruy Costa, ryac@fct.unl.pt .

Students should attend at least 2/3 of the practical lessons.There are 2 Tests during the semester and one Exam afterwards.

Subject matter

1 – Linear Programming:

Linear Programming Formulations;

Graphic Method;

Simplex Algorithm;

Sensitivity Analisys;

Linear Integer Programming: Branch and Bound Algorithm;

Trasportation Problem.

2 – Decision Theory:

Decisions under risk and under uncertainty;

Decision Trees.


3 – Queueing Theory:

Basic Structure of Queueing Systems;

Birth and Death Queueing Models;

Queueing Models with non-Exponencial distributions;

Queueing Models with Priorities;

Waiting Queues Networks.


4 – Simulation:

Pseudo-Random Numbers Generation Methods;

Aplications to Queueing Theory.