Métodos de Ensino
Aulas expositivas e discussão/resolução de exemplos e casos de estudo.
Resultados de Aprendizagem
Building mathematical models (linear, integer and binary) to be used in obtaining the optimal solution of a
problem. Solving linear programming problems using the simplex algorithm and computational tools (MS Excel
Solver). Sensitivity analysis of a linear programming problem solution, dealing with the uncertainty in the model.
Binary and integer programming formulation and solution using computational tools. Writing and solving
transport, shortest path and maximum flow problems. Using decision theory and criteria in the selection of
options in the presence of uncertainty. Identification different stock management models and optimal policies.
Programa
Formulation and solution of linear, integer and binary programming problems. Sensitivity analysis. Allocation
problems. Network problems: transportation, maximum flow, shortest path. Decision theory: criteria and
decision tree. Stock management: deterministic, stochastic and multilevel models.
Métodos de Avaliação
- - Trabalho de grupo (caso de estudo) - 35.0%
- - Trabalho individual - 35.0%
- - Teste escrito - 30.0%
- - Prova escrita - 100.0%
Estágio(s)
NAO
Bibliografia
Hillier F.S., Lieberman G.J., 2006. Introdução à Pesquisa Operacional, 8.a ed., McGraw Hill Interamericana.
Taha H.A., 2007. Operations Research – An Introduction, 8th ed., Pearson Prentice Hall