Building information modelling: Literature review on model to determine the level of uptake by the organisation

Building Information Modelling has been recognised as one of the Information Technology/Information Systems that could assist construction delivery in achieving Integrated Practice. However, the level of uptake currently varies between one organisation to another and has raised the need to determine whether the uptake is moving towards integrated practice or not. Through a literature review, this paper discussed a few models that that could be used to determine the level of uptake and they are CMMI, (PM)², SPICE, BEACON, VERDICT, i-CMM and BIMMi. This paper concludes that VERDICT, i-CMM and BIMMi can be used to determine the level of uptake. The selection of the model, however, depends on the purpose and area of evaluation.

[1]  Peter E.D. Love,et al.  Concurrent Engineering in the Construction Industry , 1997 .

[2]  Bilal Succar,et al.  Building information modelling framework: A research and delivery foundation for industry stakeholders , 2009 .

[3]  C. William Ibbs,et al.  PROJECT MANAGEMENT PROCESS MATURITY (PM)2 MODEL , 2002 .

[4]  Brad Hardin,et al.  BIM and Construction Management: Proven Tools, Methods, and Workflows , 2009 .

[5]  Chimay J. Anumba,et al.  Concurrent engineering in design-build projects , 1997 .

[6]  Mustafa Alshawi,et al.  Web-enabled project management: an emerging paradigm in construction , 2003 .

[7]  Chimay J. Anumba,et al.  Collaborative project information management in a semantic web environment , 2008 .

[8]  Martin Fischer,et al.  Generating, evaluating and visualizing construction schedules with CAD tools , 1998 .

[9]  Chimay J. Anumba,et al.  VERDICT—An e-readiness assessment application for construction companies , 2006 .

[10]  Chimay J. Anumba,et al.  Development of a readiness assessment model for concurrent engineering in construction , 2001 .

[11]  Rob Howard,et al.  Building information modelling - Experts' views on standardisation and industry deployment , 2008, Adv. Eng. Informatics.

[12]  Charles M. Eastman,et al.  BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors , 2008 .

[13]  Parviz F. Rad,et al.  Delays in Construction of Nuclear Power Plants , 1979 .

[14]  Bilal Succar,et al.  Building Information Modelling Maturity Matrix , 2010 .

[15]  Yasser Saleh,et al.  An alternative model for measuring the success of IS projects: the GPIS model , 2005, J. Enterp. Inf. Manag..

[16]  David Heesom,et al.  Trends of 4D CAD applications for construction planning , 2004 .

[17]  Dana K. Smith,et al.  Building Information Modeling: A Strategic Implementation Guide for Architects, Engineers, Constructors, and Real Estate Asset Managers , 2009 .

[18]  Willem Kymmell,et al.  Building Information Modeling: Planning and Managing Construction Projects with 4D CAD and Simulations , 2007 .

[19]  Melville Hensey Essential Tools of Total Quality Management , 1993 .

[20]  M. Bresnen,et al.  Partnering in construction: a critical review of issues, problems and dilemmas , 2000 .

[21]  Mike Kagioglou,et al.  Developing a Vision of nD-Enabled Construction , 2003 .

[22]  Angela Lee,et al.  nD modelling: industry uptake considerations , 2007 .

[23]  Mustafa Alshawi Rethinking IT in Construction and Engineering: Organisational Readiness , 2007 .

[24]  Angela Lee,et al.  Constructing the Future: nD Modelling , 2006 .

[25]  Song Wu,et al.  nD modelling road map : A vision for nD-Enabled construction , 2005 .