Teaching Methodologies
Aulas expositivas e discussão/resolução de exemplos e casos de estudo.
Learning Results
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.
Program
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.
Grading Methods
- - Prova escrita - 100.0%
- - Trabalho individual - 35.0%
- - Trabalho de grupo (caso de estudo) - 35.0%
- - Teste escrito - 30.0%
Internship(s)
NAO
Bibliography
Taha H.A., 2007. Operations Research – An Introduction, 8th ed., Pearson Prentice Hall
Hillier F.S., Lieberman G.J., 2006. Introdução à Pesquisa Operacional, 8.a ed., McGraw Hill Interamericana.