Public Facility Planning

Recommended Prerequisites

Network Optimization in Transport.

Teaching Methods

Lectures combining theoretical explanations with conceptual and real-case discussions.

Learning Outcomes

Provide students with:
(1) Fundamental knowledge about public facility planning concepts, methodologies, and techniques, as well as a good understanding of public facility planning processes.
(2) Important skills for their effective participation in public facility planning teams

Work Placement(s)

No

Syllabus

(1) Fundamental concepts (Planning process, Types of public facilities, Role of the public sector).
(2) Decision-support techniques – optimization and multi-criteria modeling. Essential notions.
(3) Classic optimization models. Model formulation. Model solving: general methods and heuristic methods. Fixed-charge models. P-median models. Covering models. Exercises.
(4) Advanced optimization models: Hierarchic models. Dynamic models. Stochastic models. Exercises.
(5) Multi-criteria models. Filtering techniques for unfeasible and dominated solutions. Preference aggregation methods: Weighted sum methods; TOPSIS method; ELECTRE family and PROMETHEE methods. Priority settings methods: Analytic Hierarchy Process (AHP).
(6) Real world applications: school networks, solid waste infrastructure networks, etc. Presentation and discussion.

Head Lecturer(s)

Professor A Definir - Departamento de Engenharia Civil

Assessment Methods

Avaliação
Home assignments: 50.0%
Exam: 50.0%

Bibliography

Coutinho-Rodrigues, J.M. (2007), Gestão de Empreendimentos e Obras de Engenharia com Tecnologias de Informação (4ª Ed.), Idtec, Coimbra, Portugal.
Daskin, M.S. (2013), Network and Discrete Location: Models, Algorithms and Applications, Wiley, New York, USA.
Larson, R.C., Odoni, A.R. (2007), Urban Operations Research (2nd Edition), Dynamic Ideas, Belmont, MA, USA.
Saldanha-da-Gama, F., Wang, S. (2024). Facility Location Under Uncertainty: Models, Algorithms and Applications, Springer.