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Du, J, Liu, R and Issa, R R A (2014) BIM Cloud Score: Benchmarking BIM Performance. Journal of Construction Engineering and Management, 140(11).

  • Type: Journal Article
  • Keywords: Building information models; Computation; Benchmark; Building information modeling (BIM); Cloud computing; Building information modeling cloud score (BIMCS); Benchmarking; Information technologies;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000891
  • Abstract:
    A variety of building information modeling (BIM) performance evaluation initiatives have been proposed to quantify BIM utilization capacity of enterprises. These initiatives were designed for evaluating, instead of benchmarking, an organization’s performance in BIM utilization. Unlike evaluation that mainly focuses on ascertaining the achievement of BIM utilization within an organization, benchmarking is more interested in comparing one organization’s BIM performance to their industry peers. By identifying gaps in specific areas, decisions to make improvements can be facilitated. This paper proposes a cloud-based BIM performance benchmarking application called building information modeling cloud score (BIMCS) to automatically collect BIM performance data from a wide range of BIM users nationwide. It utilizes the software as a service (SaaS) model of cloud computing to make the collection, aggregation, and presentation of benchmarking data autonomous and interactive. Based on the big data collected from the BIMCS database, an overall view of the industry status quo of BIM utilization may be obtained, and ultimately, a protocol for BIM performance can be developed on the basis of a better knowledge discovery process. Furthermore, BIMCS data will help individual companies compare and improve their performance in BIM utilization with respect to their industry competitors.

Lindhard, S (2014) Understanding the Effect of Variation in a Production System. Journal of Construction Engineering and Management, 140(11).

Morgado, J and Neves, J (2014) Work Zone Planning in Pavement Rehabilitation: Integrating Cost, Duration, and User Effects. Journal of Construction Engineering and Management, 140(11).

Poshdar, M, González, V A, Raftery, G M and Orozco, F (2014) Characterization of Process Variability in Construction. Journal of Construction Engineering and Management, 140(11).

Tixier, A J, Hallowell, M R, Albert, A, van Boven, L and Kleiner, B M (2014) Psychological Antecedents of Risk-Taking Behavior in Construction. Journal of Construction Engineering and Management, 140(11).

Zhang, L, Zou, X and Kan, Z (2014) Improved Strategy for Resource Allocation in Repetitive Projects Considering the Learning Effect. Journal of Construction Engineering and Management, 140(11).