Abruzzini, A and Abrishami, S (2022) Integration of BIM and advanced digital technologies to the end of life decision-making process: A paradigm of future opportunities. Journal of Engineering, Design and Technology, 20(2), pp. 388-413. ISSN 1726-0531
Abstract
Purpose: At the end of a building’s lifecycle, there are several limitations to the decision-making process (DMP). There is a lack of data available from the building’s history, the difficulty in assessing the condition of a building and the variety of stakeholders' needs that have to be satisfied. The purpose of this paper is to answer the question: how would end-of-life (EOL) DMP change when buildings will have been digitally built? The answer will be illustrated through a conceptual framework. Design/methodology/approach: A qualitative analysis of the existing literature has been performed to identify the elements within building information modelling (BIM) and advanced digital technologies that could be of support to the DMP. The findings have been collected and summarised in a conceptual framework that has been validated and enhanced through online interviews with industry experts. Findings: The enhanced framework has identified that BIM technology would bring the benefit of providing the initial digital data source, from which machine learning and data analytics would then extract the relevant data needed to measure accurately the criteria during the analysis of the EOL options put on the table. Originality/value: The findings of this research could contribute to developing the software modules making the bridge between BIM and machine learning technologies, to implement them in the EOL DMP.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | big data; BIM; circular economy; decision-making process; end of life; iot; machine learning; sensors |
| Index terms: | big data, end of life, interview, digital technology, history, conceptual framework, machine learning, qualitative analysis, integration, methodology, circular economy, decision-making process, building information modelling, option, lifecycle, module, paradigm |
| Subjects: | computing systems, research design and methodology, data collection methods, strategic project management, architectural and construction history, project delivery, artificial intelligence, sustainable design, research methods, education and knowledge transfer, theoretical framing, architectural elements, information systems, decision analysis, organizational analysis |
| Topics: | Organizational Design, Design Practice, Digital Applications, Sustainability, Risk Management, Research Practice, Project Management |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here