Sistemas de Apoio à Decisão

Código:

ESG0005

Sigla:

SAD

Áreas Científicas
Classificação	Área Científica
OFICIAL	Matemática

Ocorrência: 2012/2013 - 1S

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

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
MESG	30	Plano de estudos oficial a partir de 2007/08	1	-	6	56	162
-	1	-	-	-	6	56	162

Língua de trabalho

Português - Suitable for English-speaking students

Objetivos

- understand the complexity and quantitative and qualitative aspects of decision making processes, using simple approaches for their structuring;
- be able to create spreadsheet models and develop tools for decision support;
- use general concepts and principles of Decision Theory and Multicriteria Analysis, to structure decision alternatives and criteria;
- be able to perform data analysis and modelling, as well as sensitivity and scenario analysis;
- use optimization, heuristic and simulation models and algorithms, to suppor the solution of decision problems;
- understand the problems associated with the design of Decision Support Systems e be able to contribute to their specification.

Programa

1.
Organizations and decision processes. Decision levels, complexity and analysis paradigms.
The role of quantitative models and methods in decision making.
The use of spreadsheets.

2.
Structuring of decision processes. Influence diagrams.
Fundamental skills in spreadsheet modelling.
Organization of models in spreadsheets.

3.
Formulation of problems and optimization models: linear programming and extensions. Optimization methods and computational tools for optimizations.
Transportation and assignment problems.

4.
Network problems: floex, paths; trees - models and algorithms.
Combinatorial optimization problems: heuristic method for practical problems solution - design and implementation.
Integer programming models.

5.
Decision Theory and Multicriteria Analysis topics. Situations of risk and uncertainty.
Structuring of decision alternatives and criteria. Decision trees. Decision problems with multiple criteria. Sensitivity and "what-if" analysis.

6.
Simulation models: general structure and domain of application. Queues: brief introduction to theory, models and applications. Statistical and event-driven simulation. Simulation and decision support.

Bibliografia Obrigatória

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

Bibliografia Complementar

Clemen, Robert T.; Making hard decisions. ISBN: 0-534-92336-4
Tavares, Luís Valadares 070; Investigação operacional. ISBN: 972-8298-08-0
Antunes, Carlos Henggeler 340; Casos de aplicação da investigação operacional. ISBN: 972-773-075-2

Observações Bibliográficas

Serão disponibilizados os "slides" das aulas, bem como algumas folhas de exercícios.

Métodos de ensino e atividades de aprendizagem

Classes will be used to introduce the program topics, present and discuss cases, and solve small illustrative problems.
Some sessions may be occupied with student presentations and subsequent discussion.
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	36,00
	Total:	-	0,00

Obtenção de frequência

General rules of evaluation, article 4th.

Fórmula de cálculo da classificação final

FE (final exam, closed book) - 0 to 20 points (minimum 8)
A1 (on program topics 1 and 2) - 0 to 20 points
A2 (on program topics 3 and 4) - 0 to 20 points
A3 (on program topics 5 and 6) - 0 to 20 points


Final grade (before rounding):
0.55 FE + 0.15 A1 + 0.15 A2 + 0.15 A3

Provas e trabalhos especiais

The assignments evaluation may include brief discussions with the students.

Avaliação especial (TE, DA, ...)

Evaluation identical to normal case.
All students (including working students, ...) must deliver the assignments in the established date.

Melhoria de classificação

Exam only.
The students may not repeat components A1, A2, and A3 of evaluation.