Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/88816
Título: | Improving regulations for automated design checking through decision analysis good practices: a conceptual application to the construction sector |
Autor(es): | Mateus, Ricardo J. G. Pinto, Francisco Silva Fauth, Judith Azenha, Miguel Granja, José Luís Duarte Veludo, Ricardo Muniz, Bruno Souza Reis, João Marques, Pedro |
Palavras-chave: | Automation Building Permit Regulation Legal Drafting Decision Analysis |
Data: | 2024 |
Editora: | Springer |
Revista: | Lecture Notes in Mechanical Engineering |
Citação: | Mateus, R.J.G. et al. (2024). Improving Regulations for Automated Design Checking Through Decision Analysis Good Practices: A Conceptual Application to the Construction Sector. In: Silva, F.J.G., Pereira, A.B., Campilho, R.D.S.G. (eds) Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. FAIM 2023. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-38241-3_19 |
Resumo(s): | Automating regulations is difficult because they were not drafted for computers. This article suggests decision analysis good practices to structure, analyze and support regulation drafting, namely: structuring rules using a means-ends objectives network, identifying the level at which rules should be set, developing performance measures for each fundamental objective, setting compliance thresholds based on the respective upper-level objectives and trade-offs, and monitoring and adapting rules. The approach is illustrated and validated through its theoretical application to Portuguese rights to light regulation. It proposes specific performance-based metrics on three fundamental objectives from this regulation: direct sunlight; natural daylight; and solar energy. Climate-based daylight simulation methods coupled with Building Information Modeling (BIM) provide the breakthrough to develop better performance-based metrics, rules, and building design optimization. |
Tipo: | Artigo em ata de conferência |
Descrição: | First Online: 24 August 2023 |
URI: | https://hdl.handle.net/1822/88816 |
ISBN: | 9783031382406 |
e-ISBN: | 978-3-031-38241-3 |
DOI: | 10.1007/978-3-031-38241-3_19 |
ISSN: | 2195-4356 |
Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-031-38241-3_19 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito autor |
Aparece nas coleções: | ISISE - Comunicações a Conferências Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Improving Regulations for Automated Design.pdf Acesso restrito! | 431,88 kB | Adobe PDF | Ver/Abrir |