File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.autcon.2020.103451
- Scopus: eid_2-s2.0-85095407430
- WOS: WOS:000596386400004
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Combining multi-criteria decision making (MCDM) methods with building information modelling (BIM): A review
Title | Combining multi-criteria decision making (MCDM) methods with building information modelling (BIM): A review |
---|---|
Authors | |
Keywords | BIM Building information modelling Decision analysis Multi-criteria decision-making Review |
Issue Date | 2021 |
Citation | Automation in Construction, 2021, v. 121, article no. 103451 How to Cite? |
Abstract | Integrating building information to support decision-making has been a key challenge in the Architecture, Engineering, and Construction (AEC) industry. The synergy of Building Information Modelling (BIM) and Multi-Criteria Decision Making (MCDM) is expected to improve information integration and decision-making. The aim of this paper is to identify strategies to improve the synergy between MCDM and BIM. From the earliest literature (2009) to the present, this study examines 45 articles combining MCDM with BIM. We find that the five major application domains are sustainability, retrofit, supplier selection, safety, and constructability. Five established strategies for improving the synergy between MCDM and BIM were discussed and can be used as a benchmark for evaluating the application of decision techniques in practice. This study points out gaps of combining MCDM and BIM in the current literature. It also sheds new light into combining MCDM with BIM for practitioners, as to promote integrated decision-making. |
Persistent Identifier | http://hdl.handle.net/10722/341290 |
ISSN | 2023 Impact Factor: 9.6 2023 SCImago Journal Rankings: 2.626 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tan, Tan | - |
dc.contributor.author | Mills, Grant | - |
dc.contributor.author | Papadonikolaki, Eleni | - |
dc.contributor.author | Liu, Zhening | - |
dc.date.accessioned | 2024-03-13T08:41:39Z | - |
dc.date.available | 2024-03-13T08:41:39Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Automation in Construction, 2021, v. 121, article no. 103451 | - |
dc.identifier.issn | 0926-5805 | - |
dc.identifier.uri | http://hdl.handle.net/10722/341290 | - |
dc.description.abstract | Integrating building information to support decision-making has been a key challenge in the Architecture, Engineering, and Construction (AEC) industry. The synergy of Building Information Modelling (BIM) and Multi-Criteria Decision Making (MCDM) is expected to improve information integration and decision-making. The aim of this paper is to identify strategies to improve the synergy between MCDM and BIM. From the earliest literature (2009) to the present, this study examines 45 articles combining MCDM with BIM. We find that the five major application domains are sustainability, retrofit, supplier selection, safety, and constructability. Five established strategies for improving the synergy between MCDM and BIM were discussed and can be used as a benchmark for evaluating the application of decision techniques in practice. This study points out gaps of combining MCDM and BIM in the current literature. It also sheds new light into combining MCDM with BIM for practitioners, as to promote integrated decision-making. | - |
dc.language | eng | - |
dc.relation.ispartof | Automation in Construction | - |
dc.subject | BIM | - |
dc.subject | Building information modelling | - |
dc.subject | Decision analysis | - |
dc.subject | Multi-criteria decision-making | - |
dc.subject | Review | - |
dc.title | Combining multi-criteria decision making (MCDM) methods with building information modelling (BIM): A review | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.autcon.2020.103451 | - |
dc.identifier.scopus | eid_2-s2.0-85095407430 | - |
dc.identifier.volume | 121 | - |
dc.identifier.spage | article no. 103451 | - |
dc.identifier.epage | article no. 103451 | - |
dc.identifier.isi | WOS:000596386400004 | - |