Sistemas de Apoio à Decisão

Código:

EIC0074

Sigla:

SADE

Áreas Científicas
Classificação	Área Científica
OFICIAL	Métodos Quantitativos e Gestão

Ocorrência: 2012/2013 - 1S

Ativa?	Sim
Unidade Responsável:	Departamento de Engenharia e Gestão Industrial
Curso/CE Responsável:	Mestrado Integrado em Engenharia Informática e Computação

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
MIEIC	19	Plano de estudos a partir de 2009/10	5	-	6	56	162

Língua de trabalho

Português

Objetivos

At the end of the course, students should be able to:

-       - understand the complexity and the qualitative aspects of decision making processes, and to use problem structuring techniques and multicriteria approaches;

-       - define the structure and the components of a Decision Support System (DSS), as well as using methodologies and techniques to design and implement DSSs;

-       - develop spreadsheet models, and design tools to support decision-making;

-       use the main concepts of Decision Theory and Multicriteria Analysis, to structure alternatives and decision criteria;

-       - develop models and optimization algorithms, as well as heuristic and simulation approaches to solve problems with a practical interest, particularly in the context of Operations Management and Combinatorial Optimization;

-       - develop simulation models and design Interactive Visual Simulation Systems.

Resultados de aprendizagem e competências

NA.

Modo de trabalho

Presencial

Programa

1.

Organizations and decision processes. Decision Support System (DSS): general structure and components. Quantitative methods for decision making. Operations Research Methodology. Models. Qualitative aspects in decision making. Structuring of decision problems.

 

2.

Topics in Decision Theory and Multicriteria Analysis. Situations of uncertainty and risk. Structuring of decision alternatives and criteria. Decision trees. Decision problems with multiple criteria. Analytic Hierarchy Process (AHP). Sensitivity analysis and “what-if” analysis.

 

3.

Operations Management and Combinatorial Optimization problems: models and applications. Meta-heuristics: local search algorithms, "simulated annealing", tabu search. Genetic Algorithms. Integration of these algorithms in DSSs.

 

4.

Simulation models: general structure and application domain. Interactive visual simulation. Applications.

 

5.

DSS design methodologies and implementation tools. Modularity and prototyping. Organizational aspects in DSS design. DSS specification and development: examples.

 

6.

Presentation and discussion of case studies. 

Bibliografia Obrigatória

Powell, Stepehn G.; Management Science. ISBN: 978-0-470-03840-6

Bibliografia Complementar

Talbi, El-Ghazali 1965-; Metaheuristics. ISBN: 978-0-470-27858-1
Turban, Efraim; Decision support and expert systems. ISBN: 0-13-320383-2
Hillier, Frederick S.; Introduction to operations research. ISBN: 0-07-100745-8

Observações Bibliográficas

Copies of slides will be provided, as well as some additional journal articles.

Métodos de ensino e atividades de aprendizagem

The course unit is organized in a weekly session of 3 hours, used to introduce the program topics, present and discuss cases, and solve small illustrative problems.

The reports to be presented (as part of evaluation) will essentially be developed out of class.

Software

Microsoft Excel

Palavras Chave

Ciências Físicas > Matemática > Matemática aplicada > Investigação operacional

Tipo de avaliação

Avaliação distribuída com exame final

Componentes de Avaliação

Descrição	Tipo	Tempo (Horas)	Peso (%)	Data Conclusão
Participação presencial (estimativa)	Participação presencial	42,00
Exame	Exame		65,00
Trabalho escrito	Trabalho escrito		35,00
	Total:	-	100,00

Obtenção de frequência

Do not exceed the limit of absences and have a minimum of 7.5 in the assignments.

Fórmula de cálculo da classificação final

FE (final exam) - 0 to 20 points (minimum 7.5)

A (assignment) - 0 to 20 points (minimum 7.5)

Final grade: 0.65 FE + 0.35 A

Provas e trabalhos especiais

FE - final exam, closed book

A - assignment, to be done in groups of 2 students (the assignment assessment may include a brief discussion session)

Avaliação especial (TE, DA, ...)

Evaluation identical to the normal case.

Melhoria de classificação

The improvement of the final grade can only be done on the exam component.

Students cannot repeat the assignment.

The formula for the final grade is the same.