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Improving Regulations for Automated Design Checking Through Decision Analysis Good Practices: A Conceptual Application to the Construction Sector

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Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems (FAIM 2023)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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.

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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.

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Authors and Affiliations

  1. RCM2+ Research Centre for Asset Management and Systems Engineering, Lusófona University, Lisbon, Portugal

    Ricardo J. G. Mateus, Francisco Silva Pinto, João Reis & Pedro Marques

  2. CEG-IST, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

    Ricardo J. G. Mateus

  3. RIB Software GmbH, Stuttgart, Germany

    Judith Fauth

  4. ARISE, ISISE, Department of Civil Engineering, University of Minho, Guimarães, Portugal

    Miguel Azenha, José Granja & Bruno Muniz

  5. Ministério da Coesão Territorial, Lisbon, Portugal

    Ricardo Veludo

  6. CERIS, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

    Francisco Silva Pinto

Authors
  1. Ricardo J. G. Mateus
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  2. Francisco Silva Pinto
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  3. Judith Fauth
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  4. Miguel Azenha
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  5. José Granja
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  6. Ricardo Veludo
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  7. Bruno Muniz
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  8. João Reis
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  9. Pedro Marques
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Corresponding author

Correspondence to Ricardo J. G. Mateus .

Editor information

Editors and Affiliations

  1. TEMA - Centre for Mechanical Technology and Automation, Department of Mechanical Engineering, University of Aveiro, Porto, Portugal

    Francisco J. G. Silva

  2. TEMA - Centre for Mechanical Technology and Automation, Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal

    António B. Pereira

  3. Department of Mechanical Engineering, ISEP – School of Engineering, Polytechnic of Porto, Porto, Portugal

    Raul D. S. G. Campilho

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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

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  • DOI: https://doi.org/10.1007/978-3-031-38241-3_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-38240-6

  • Online ISBN: 978-3-031-38241-3

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