Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/45035
- Title
- Building information modelling project decision support framework
- Author/Creator
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London, Kerry;
Singh, Vishal;
Taylor, Claudelle;
Gu, Ning;
Brankovic, Ljiljana
- Institution
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Architecture and Built Environment
- Description
- Building Information Modelling (BIM) is an information technology [IT] enabled approach to managing design data in the AEC/FM (Architecture, Engineering and Construction/ Facilities Management) industry. BIM enables improved interdisciplinary collaboration across distributed teams, intelligent documentation and information retrieval, greater consistency in building data, better conflict detection and enhanced facilities management. Despite the apparent benefits the adoption of BIM in practice has been slow. Workshops with industry focus groups were conducted to identify the industry needs, concerns and expectations from participants who had implemented BIM or were BIM “ready”. Factors inhibiting BIM adoption include lack of training, low business incentives, perception of lack of rewards, technological concerns, industry fragmentation related to uneven ICT adoption practices, contractual matters and resistance to changing current work practice. Successful BIM usage depends on collective adoption of BIM across the different disciplines and support by the client. The relationship of current work practices to future BIM scenarios was identified as an important strategy as the participants believed that BIM cannot be efficiently used with traditional practices and methods. The key to successful implementation is to explore the extent to which current work practices must change. Currently there is a perception that all work practices and processes must adopt and change for effective usage of BIM. It is acknowledged that new roles and responsibilities are emerging and that different parties will lead BIM on different projects. A contingency based approach to the problem of implementation was taken which relies upon integration of BIM project champion, procurement strategy, team capability analysis, commercial software availability/applicability and phase decision making and event analysis. Organizations need to understand: (a) their own work processes and requirements; (b) the range of BIM applications available in the market and their capabilities (c) the potential benefits of different BIM applications and their roles in different phases of the project lifecycle, and (d) collective supply chain adoption capabilities. A framework is proposed to support organizations selection of BIM usage strategies that meet their project requirements. Case studies are being conducted to develop the framework. The results of the preliminary design management case study is presented for contractor led BIM specific to the design and construct procurement strategy.
- Relation
- 24th Annual Conference of the Association of Researchers in Construction Management (ARCOM 2008). Proceedings of the Twenty-Fourth Annual Conference Association of Researchers in Construction Management (ARCOM) 2008, Volume 1 (Cardiff, UK 1-3 September, 2008) p. 665-674
- Relation
- http://www.arcom.ac.uk/publications/proceedings.html
- Date
- 2008
- Publisher
- Association of Researchers in Construction Management (ARCOM)
- Keyword(s)
-
building information modelling;
diffusion adoption
- Resource Type
- conference paper
- Identifier
- http://hdl.handle.net/1959.13/45035
- Identifier
- ISBN:9780955239014
- Reviewed
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