Abstract
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.
Original language | English |
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Title of host publication | Flexible Automation and Intelligent Manufacturing |
Subtitle of host publication | Establishing Bridges for More Sustainable Manufacturing Systems - Proceedings of FAIM 2023 |
Editors | Francisco J. G. Silva, Raul D.S.G. Campilho, António B. Pereira |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 160-169 |
Number of pages | 10 |
ISBN (Print) | 9783031382406 |
DOIs | |
Publication status | Published - 24 Aug 2023 |
Event | 32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023 - Porto, Portugal Duration: 18 Jun 2023 → 22 Jun 2023 |
Publication series
Name | Lecture Notes in Mechanical Engineering |
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ISSN (Print) | 2195-4356 |
ISSN (Electronic) | 2195-4364 |
Conference
Conference | 32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023 |
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Country/Territory | Portugal |
City | Porto |
Period | 18/06/23 → 22/06/23 |
Bibliographical note
Publisher Copyright:© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Funding
Acknowledgments. The authors would like to thank three anonymous reviewers for their comments on the draft version of this paper. This work was partly financed by FCT/MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE), under reference UIDB / 04029/2020, and under the Associate Laboratory Advanced Production and Intelligent Systems ARISE under reference LA/P/0112/2020.
Funders | Funder number |
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ISISE | UIDB / 04029/2020, LA/P/0112/2020 |
R&D Unit Institute for Sustainability and Innovation in Structural Engineering | |
Fundação para a Ciência e a Tecnologia | |
Ministério da Ciência, Tecnologia e Ensino Superior |
Keywords
- Automation
- Building Permit
- Decision Analysis
- Legal Drafting
- Regulation