Operational Research I

Code:

EIG0022

Acronym:

IO I

Keywords
Classification	Keyword
OFICIAL	Quantitative Methods

Instance: 2011/2012 - 1S

Active?	Yes
Responsible unit:	Department of Industrial Engineering and Management
Course/CS Responsible:	Master in Engineering and Industrial Management

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEIG	83	Syllabus since 2006/2007	3	-	6	56	160

Teaching language

Portuguese

Objectives

This course unit aims to acquaint students with underlying knowledge in Operations Research. It will be stressed its role as a method of taking decisions. This course unit also aims to endow students with the following skills:
- to identify decision problems;
- to apply the various stages of problem solving decision, namely the definition and structure of problems, construction of models, use of quantitative methods to obtain a solution;
- to critically analyse a solution;
- to understand the importance of the role of the agent in organisations.

Program

Introduction to Operational Research: brief historical note; methodology of operational research; modulation
Operational research techniques: problem formulation, algorithmic and computer aspects
1. Linear programming
1.1 Problem formulation
1.2 Graphic resolution and sensitivity analysis
1.3 Linear programming resolution
1.3 Simplex method
1.4 Duality
2. Special cases of linear programming
- Transport problems
3. Problems of network optimization
4. Project management
5. Decision theory

Mandatory literature

Ana Camanho; Apontamentos da disciplina disponibilizados nos conteúdos do SIFEUP, 2010

Complementary Bibliography

Hillier, Frederick S.; Introduction to management science. ISBN: 0-07-119554-8
Winston, Wayne L.; Operations research. ISBN: 0-534-20971-8
Hillier, Frederick S.; Introduction to operations research. ISBN: 0-07-118163-6

Teaching methods and learning activities

This course unit will be based on the presentation of methodologies and techniques, problem solving (some of them with computer) and presentation and discussion of cases by students.

keywords

Physical sciences > Mathematics > Applied mathematics > Operations research

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	56,00
	Total:	-	0,00

Eligibility for exams

Students have to attend classes (according to the rules).

Calculation formula of final grade

Resolution of a case study- 20% of the Final Mark
Exam- 80% of the Final Mark

Examinations or Special Assignments

Not applicable

Special assessment (TE, DA, ...)

A final exam at the special season of exams