Analysis of critical features and evaluation of BIM software: Towards a plug-in for construction waste minimization using big data

Muhammad Bilal, Lukumon O. Oyedele, Junaid Qadir, Kamran Munir, Olugbenga O. Akinade, Saheed O. Ajayi, Hafiz A. Alaka, Hakeem A. Owolabi

Research output: Contribution to journalArticle

16 Citations (Scopus)
20 Downloads (Pure)

Abstract

The overall aim of this study is to investigate the potential of Building Information Modelling (BIM) for construction waste minimization. We evaluated the leading BIM design software products and concluded that none of them currently support construction waste minimization. This motivates the development of a plug-in for predicting and minimizing construction waste. After a rigorous literature review and conducting four focused group interviews (FGIs), 12 imperative BIM factors were identified that should be considered for predicting and designing out construction waste. These factors were categorized into four layers, namely the BIM core features layer, the BIM auxiliary features layer, the waste management criteria layer, and the application layer. Further, a process to carry out BIM-enabled building waste analysis (BWA) is proposed. We have also investigated the usage of big data technologies in the context of waste minimization. We highlight that big data technologies are inherently suitable for BIM due to their support of storing and processing large datasets. In particular, the use of graph-based representation, analysis, and visualization can be employed for advancing the state of the art in BIM technology for construction waste minimization.

Original languageEnglish
Pages (from-to)211-228
Number of pages18
JournalInternational Journal of Sustainable Building Technology and Urban Development
Volume6
Issue number4
DOIs
Publication statusPublished - 2015
Externally publishedYes

Fingerprint

Software design
Waste management
Big data
Visualization
Processing

Keywords

  • big data analytics
  • BIM
  • construction waste prediction and minimization
  • design out waste
  • NoSQL systems
  • waste prevention

ASJC Scopus subject areas

  • Building and Construction

Cite this

Analysis of critical features and evaluation of BIM software : Towards a plug-in for construction waste minimization using big data. / Bilal, Muhammad; Oyedele, Lukumon O.; Qadir, Junaid; Munir, Kamran; Akinade, Olugbenga O.; Ajayi, Saheed O.; Alaka, Hafiz A.; Owolabi, Hakeem A.

In: International Journal of Sustainable Building Technology and Urban Development, Vol. 6, No. 4, 2015, p. 211-228.

Research output: Contribution to journalArticle

Bilal, Muhammad ; Oyedele, Lukumon O. ; Qadir, Junaid ; Munir, Kamran ; Akinade, Olugbenga O. ; Ajayi, Saheed O. ; Alaka, Hafiz A. ; Owolabi, Hakeem A. / Analysis of critical features and evaluation of BIM software : Towards a plug-in for construction waste minimization using big data. In: International Journal of Sustainable Building Technology and Urban Development. 2015 ; Vol. 6, No. 4. pp. 211-228.
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