Operational Research I

Code:

EIG0022

Acronym:

IO I

Keywords
Classification	Keyword
OFICIAL	Quantitative Methods

Instance: 2009/2010 - 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	66	Syllabus since 2006/2007	3	-	6	56	160

Teaching language

Portuguese

Objectives

BACKGROUND
In order to become leaders of organizations in today's highly competitive business environment, managers must be aware of fundamental tools and methods for quantitative modelling. The purpose of the Operational Research I course is to make students aware of the main concepts and key-aspects of the quantitative techniques studied, as well as develop the require skills to identify the situations where these techniques can be applied, as well as the expertise to apply them successfully in a real world context. This course also has a formative character, in particular in what concerns the development of rationality and respect for rigour.

SPECIFIC AIMS
This course unit aims to acquaint students with underlying knowledge in Operations Research techniques. It will be stressed its role as a method for taking decisions.

PREVIOUS KNOWLEDGE
EIG0015 - Statistics I
EIG0018 - Statistics II

PERCENTUAL OUTCOMES
Scientific component: 70%
Technological component: 30%

LEARNING OUTCOMES
This course unit aims to endow students with the following skills:
a) to identify decision problems;
b) 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;
c) to critically analyse a solution;
d) to recognize the importance of the role of the agent of change in organisations.

Program

1. Introduction to Operational Research: brief historical note; methodology of operational research; modelling skills.
2. Operational research techniques: problem formulation, algorithmic and computational aspects:
a) Linear programming:
- Problem formulation
- Graphic resolution and sensitivity analysis
- Linear programming resolution
- Simplex method
- Duality
b) Special cases of linear programming
- Transport problems
- Assignment problems
c) Problems of network optimization
d) Project management
e) Decision theory

Mandatory literature

Ana Camanho; Acetatos com os temas tratados na disciplina, 2009
Ana Camanho; IO1: exercícios propostos e resoluções, 2009

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 techniques and models, 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	52,00
Case study analysis and report preparation	Trabalho escrito	22,00
Exam paper	Exame	3,00
	Total:	-	0,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
Regular subject study	Estudo autónomo	63
Exam paper preparation	Estudo autónomo	22
	Total:	85,00

Eligibility for exams

Students have to attend classes (according to the FEUP 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