Building information modelling for facility management : are we there yet?

Ruwini Edirisinghe, Kerry Anne London, Pushpitha Kalutara, Guillermo Aranda-Mena

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose – Building information modelling (BIM) is increasingly being adopted during construction projects. Design and construction practices are adjusting to the new system. BIM is intended to support the entire project life-cycle: the design and construction phases, and also facility management (FM). However, BIM-enabled FM remains in its infancy and has not yet reached its full potential. The purpose of this paper is to identify major aspects of BIM in order to derive a fully BIM-enabled FM process. Design/methodology/approach – In total, 207 papers were classified into main and subordinate research areas for quantitative analysis. These findings were then used to conceptualise a BIM-enabled FM framework grounded by innovation diffusion theory for adoption, and for determining the path of future research. Findings – Through an extensive literature review, the paper summarises many benefits and challenges. Major aspects of BIM are identified in order to describe a BIM-enabled FM implementation process grounded by innovation diffusion theory. The major research areas of the proposed framework include: planning and guidelines; value realisation; internal leadership and knowledge; procurement; FM; specific application areas; data capture techniques; data integration; knowledge management; and legal and policy impact. Each element is detailed and is supported by literature. Finally, gaps are highlighted for investigation in future research. Originality/value – This paper systematically classifies and evaluates the existing research, thus contributing to the achievement of the ultimate vision of BIM-enabled FM. The proposed framework informs facility managers, and the BIM-enabled FM implementation process. Further, the holistic survey identifies gaps in the body of knowledge, revealing avenues for future research.
Original languageEnglish
Pages (from-to)1119-1154
Number of pages38
JournalEngineering, Construction and Architectural Management
Volume24
Issue number6
DOIs
Publication statusPublished - 2017

Keywords

  • building information modeling
  • computer, aided design
  • construction industry
  • project management

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