A decision-support system for municipal management

• Autor(a) principal: Rego, Hugo
• Data de Publicação: 2018
• Outros Autores: Mendes, Armando B., Guerra, Hélia
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: https://doi.org/10.34627/rcc.v10i0.45

This paper describes a decision support system for providing indicators to support management decisions in a local government organization, the municipality of Lagoa - S. Miguel, Azores. The work includes modeling, using the UML notation, the creation of the relational database MySQL, algorithms for data collection using PHP, and forecasting models in R. Users have access to predictions made by different models for several indicators and are directed to models with the fewest number of errors. The R functions used are exponential smoothing, classical decomposition with linear trend and ARIMA models functions. From the analysis, for 12 years‟ data, it is concluded that for most of the indicators, the classical decomposition model is desirable. However, for some indicators, it was found that the two error measures used are not consistent. In these cases, the final decision is left to the decision-maker, which chooses the preferable model.