TY  - CONF
TI  - Automation of the Building Information Model Breakdown Structure.
AU  - Rischmoller, Leonardo
AU  - Dong, Ning (Tony)
AU  - Fischer, Martin
AU  - Khanzode, Atul
AD  - DPR BIM Manager, DPR Construction LeonardoR@dpr.com
AD  - DPR R&D Manager TonyD@dpr.com
AD  - Center for Integrated Facility Engineer, Stanford University, Director fischer@stanford.edu
AD  - DPR Technology Group Director AtulK@dpr.com
PY  - 2017
DA  - 2017/07/09
T2  - 25th Annual Conference of the International Group for Lean Construction
C3  - 25th Annual Conference of the International Group for Lean Construction
CY  - Heraklion, Greece
SP  - 389
EP  - 396
DO  - 10.24928/2017/0216
SN  - 2309-0979 (ISSN)
AB  - Breaking down project information via different breakdown structures has been a successful way of managing and controlling construction projects with levels of efficiency and effectiveness otherwise unimaginable to achieve over the past decades. However, the current practice of grouping and organizing building information models from multiple project participants does not reflect such breakdown structures well. This gap renders it a challenge to introducing Building Information Modelling (BIM) to on-site meetings in the construction phase, such as daily subcontractor huddle and pull planning meetings, in which on-the-spot-requests to query federated models are prevalent. This paper introduces the underlying concepts of a method that allows automatic grouping of models so that the model breakdown structure (MBS) matches a certain breakdown structure within a project. An automation tool has been developed accordingly and tested in two case studies, which prove that the proposed method enables project participants without extensive trainings of BIM the rapid identification of the desired model contents.
KW  - Building Information Modelling (BIM)
KW  - breakdown structure
KW  - model breakdown structure (MBS)
L1  - https://www.iglc.net/papers/details/1451/pdf
UR  - https://www.iglc.net/papers/details/1451
DB  - IGLC.net
LA  - English
N1  - Export date: 04 October 2026
ER  -