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1 – 10 of 41Arturas Kaklauskas, Irene Lill, Dilanthi Amaratunga and Ieva Ubarte
This article’s purpose is to develop The Model for Smart, Self-learning and Adaptive Resilience Building (SARB).
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.
Practical Implications
Two directions can be identified for the practical implications of the SARB Model. The initial expectation is the widespread installation of SARB Model within real estate and construction organisations. Furthermore, development of the SARB Model will be used to implement the ERASMUS+ project, “Advancing Skill Creation to ENhance Transformation—ASCENT” Project No. 561712-EPP-1-2015-UK-EPPKA2-CBHE-JP.
Originality/Value
The practical implications of this paper are valuable.
Details