The key performance indicators of the BIM implementation process

P. Coates, Y. Arayici, L. Koskela, M. Kagioglou, C. Usher, K. O'Reilly

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

At the present time some firms in the construction industry are attempting to adopt a BIM methodology of working. Each of these attempts reflects a varying BIM adoption philosophy and inevitably different BIM technologies, implementation strategies and roadmaps. These attempts are motivated to attain competitive advantages for product delivery in the market place. The question of what is the best method of adopting BIM has not yet been answered. That is to say, a standard method remains to be identified, that will benchmark the different BIM adoption strategies by comparing the efficiency gains in each case. Through developing a standard benchmarking method stakeholders will be able to decide on the most appropriate strategies for themselves. This paper explains the live experience of BIM adoption in a KTP (Knowledge Transfer Partnership) project, undertaken between the University of Salford and John McCall Architects practicing in the housing and regeneration fields, with a particular focus on a set of KPIs that have been developed and tested through the action research strategy in the project. Weighting of these KPI's has been developed from an architectural business perspective.

Original languageEnglish
Title of host publicationEG-ICE 2010 - 17th International Workshop on Intelligent Computing in Engineering
EditorsWalid Tizani
PublisherNottingham Contemporary
ISBN (Electronic)9781907284601
Publication statusPublished - 30 Jun 2010
Externally publishedYes
Event17th International Workshop on Intelligent Computing in Engineering, EG-ICE 2010 - Nottingham, United Kingdom
Duration: 30 Jun 20102 Jul 2010

Publication series

NameEG-ICE 2010 - 17th International Workshop on Intelligent Computing in Engineering

Conference

Conference17th International Workshop on Intelligent Computing in Engineering, EG-ICE 2010
Country/TerritoryUnited Kingdom
CityNottingham
Period30/06/102/07/10

Keywords

  • Benchmarking
  • BIM
  • BIM adoption
  • Implementation
  • Key performance indicators

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