Operational Research

Code:

EM0039

Acronym:

IO

Keywords
Classification	Keyword
OFICIAL	Management

Instance: 2007/2008 - 1S

Active?	Yes
Responsible unit:	Industrial Management and Engineering Section
Course/CS Responsible:	Master in Mechanical Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
LEM	0	Plano de estudos de transição para 2006/07	4	6	6	56	160
MIEM	90	Syllabus since 2006/2007	4	-	6	56	160
		Plano de estudos de transição para 2006/07	4	-	6	56	160

Teaching language

Portuguese

Objectives

BACKGROUND:
Operational Research (OR) is a fundamental method for the approach of decision making processes in many different feels of science. Engineers, in particular, can profit with the knowledge of the techniques used by OR for problems solving.

SPECIFIC AIMS:
Introduction of a global vision of OR, stressing, in particular, its role as a method of approach to decision processes. Acquisition of knowledge to formulate and solve linear programming. Acquisition of knowledge for project management. Acquisition of knowledge to decision analysis

PREVIOUS KNOWLEDGE:
- Basic knowlegle in Statistics

PERCENTUAL DISTRIBUTION:
Scientific component: 90%
Technological component: 10%

LEARNING OUTCOMES:
At the end of the course, the students shall be able to:
1) Formulate of Linear Programming models.
2) Understand and know how to apply algorithms to obtain the optimal solutions for those problems.
3) Understand and know how to apply techniques for project management.
4) define the structure for decision problems.

Program

OR Methodology: Brief historical note. .
OR Techniques: Linear programming (problem formulation, solving the problem by the simplex method, sensitivity analysis; formulation and solving methods for the transport and assignment problems). PROJECT MANAGEMENT (general organizational aspects, techniques for the planning and control of time, cost and other resources - CPM and PERT methods). DECISION ANALYSIS. Structure of a decision problem. Terminal decisions based on prior information. Expected value of perfect information. Decision trees. Sequencial decisions.

Mandatory literature

responsabilidade de vários docentes do GEIN; Notas de apoio e Cópias de acetatos de aulas

Complementary Bibliography

Hillier, Frederick S.; Introduction to management science. ISBN: 0-07-116470-7
João Namorado, Carlos Henggeler Antunes e Maria João Gomes Alves ; Clímaco, (2003)
Antunes, Carlos Henggeler 340; Casos de aplicação da investigação operacional. ISBN: 972-773-075-2
Clímaco; Programação linear multiobjectivo
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

In the context of this discipline, we combine classes based on the presentation of methods and techniques by the lecturers (including the discussion of real cases), classes consisting in the presentation and discussion of case studies by the students and problem solving classes.

Software

LINDO (www.lindo.com)

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Subject Classes	Participação presencial	56,00
	Teste	45,00
	Trabalho escrito	16,00
	Total:	-	0,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
	Estudo autónomo	45
	Total:	45,00

Eligibility for exams

The students must attain to, at least, 75% of the classes

Calculation formula of final grade

Case study - 20%
Final exam - 80%

Examinations or Special Assignments

Not applied.

Special assessment (TE, DA, ...)

Special final exam

Classification improvement

Special final exam