Model for Smart, Self-learning and Adaptive Resilience Building

Artūras Kaklauskas, Irene Lill, Dilanthi Amaratunga, Ieva Ubarte

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Purpose – This article’s purpose is to develop The Model for Smart, Self-learning and Adaptive Resilience Building (SARB).
Design/Methodology/Approach – Products and patents of methods and systems analysis was carried out in the fields of BIM application, Smart, Self-learning and Adaptive Resilience Building. Based on other researchers’ findings, The SARB Model was proposed.
Findings – Analysis of the literature showed that traditional decisions on the informational modelling do not satisfy all the needs of smart building technologies owing to their static nature. The SARB Model was developed to take care of its efficiency from the brief stage to the end of its service life.
Research Limitations/Implications – The SARB Model was developed to take care of its efficiency from the brief stage to the end of its service life. The SARB Model does have some limitations: (1) the processes followed require the collection of much unstructured and semi-structured data from many sources, along with their analyses to support stakeholders in decision-making; (2) stakeholders need to be aware of the broader context of decision-making and (3) the proposal is process-oriented, which can be a disadvantage during the model’s implementation.
LanguageEnglish
Title of host publication10th Nordic Conference on Construction Economics and Organization
EditorsIrene Lill, Emlyn Witt
PublisherEmerald Publishing Limited
Pages315-324
Number of pages10
Volume2
ISBN (Electronic)9781838670511
Publication statusPublished - 1 May 2019
Event10th Nordic Conference on Construction Economics and Organization - Tallinn University of Technology, Tallin, Estonia
Duration: 7 May 20198 May 2019
https://creon-net.org/10th-nordic-conference-tallin/

Publication series

NameEmerald Reach Proceedings Series
PublisherEmerald Publishing Limited
ISSN (Print)2516-2853

Conference

Conference10th Nordic Conference on Construction Economics and Organization
CountryEstonia
CityTallin
Period7/05/198/05/19
Internet address

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learning
stakeholder
decision making
systems analysis
methodology
modeling
services

Cite this

Kaklauskas, A., Lill, I., Amaratunga, D., & Ubarte, I. (2019). Model for Smart, Self-learning and Adaptive Resilience Building. In I. Lill, & E. Witt (Eds.), 10th Nordic Conference on Construction Economics and Organization (Vol. 2, pp. 315-324). (Emerald Reach Proceedings Series). Emerald Publishing Limited.
Kaklauskas, Artūras ; Lill, Irene ; Amaratunga, Dilanthi ; Ubarte, Ieva. / Model for Smart, Self-learning and Adaptive Resilience Building. 10th Nordic Conference on Construction Economics and Organization. editor / Irene Lill ; Emlyn Witt. Vol. 2 Emerald Publishing Limited, 2019. pp. 315-324 (Emerald Reach Proceedings Series).
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Kaklauskas, A, Lill, I, Amaratunga, D & Ubarte, I 2019, Model for Smart, Self-learning and Adaptive Resilience Building. in I Lill & E Witt (eds), 10th Nordic Conference on Construction Economics and Organization. vol. 2, Emerald Reach Proceedings Series, Emerald Publishing Limited, pp. 315-324, 10th Nordic Conference on Construction Economics and Organization, Tallin, Estonia, 7/05/19.

Model for Smart, Self-learning and Adaptive Resilience Building. / Kaklauskas, Artūras; Lill, Irene; Amaratunga, Dilanthi; Ubarte, Ieva.

10th Nordic Conference on Construction Economics and Organization. ed. / Irene Lill; Emlyn Witt. Vol. 2 Emerald Publishing Limited, 2019. p. 315-324 (Emerald Reach Proceedings Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Model for Smart, Self-learning and Adaptive Resilience Building

AU - Kaklauskas, Artūras

AU - Lill, Irene

AU - Amaratunga, Dilanthi

AU - Ubarte, Ieva

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Y1 - 2019/5/1

N2 - Purpose – This article’s purpose is to develop The Model for Smart, Self-learning and Adaptive Resilience Building (SARB).Design/Methodology/Approach – Products and patents of methods and systems analysis was carried out in the fields of BIM application, Smart, Self-learning and Adaptive Resilience Building. Based on other researchers’ findings, The SARB Model was proposed.Findings – Analysis of the literature showed that traditional decisions on the informational modelling do not satisfy all the needs of smart building technologies owing to their static nature. The SARB Model was developed to take care of its efficiency from the brief stage to the end of its service life.Research Limitations/Implications – The SARB Model was developed to take care of its efficiency from the brief stage to the end of its service life. The SARB Model does have some limitations: (1) the processes followed require the collection of much unstructured and semi-structured data from many sources, along with their analyses to support stakeholders in decision-making; (2) stakeholders need to be aware of the broader context of decision-making and (3) the proposal is process-oriented, which can be a disadvantage during the model’s implementation.

AB - Purpose – This article’s purpose is to develop The Model for Smart, Self-learning and Adaptive Resilience Building (SARB).Design/Methodology/Approach – Products and patents of methods and systems analysis was carried out in the fields of BIM application, Smart, Self-learning and Adaptive Resilience Building. Based on other researchers’ findings, The SARB Model was proposed.Findings – Analysis of the literature showed that traditional decisions on the informational modelling do not satisfy all the needs of smart building technologies owing to their static nature. The SARB Model was developed to take care of its efficiency from the brief stage to the end of its service life.Research Limitations/Implications – The SARB Model was developed to take care of its efficiency from the brief stage to the end of its service life. The SARB Model does have some limitations: (1) the processes followed require the collection of much unstructured and semi-structured data from many sources, along with their analyses to support stakeholders in decision-making; (2) stakeholders need to be aware of the broader context of decision-making and (3) the proposal is process-oriented, which can be a disadvantage during the model’s implementation.

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Kaklauskas A, Lill I, Amaratunga D, Ubarte I. Model for Smart, Self-learning and Adaptive Resilience Building. In Lill I, Witt E, editors, 10th Nordic Conference on Construction Economics and Organization. Vol. 2. Emerald Publishing Limited. 2019. p. 315-324. (Emerald Reach Proceedings Series).