IGLC.net
EXPORT DATE: 25 April 2024

@CONFERENCE{Rischmoller2017,
author={Rischmoller, Leonardo and Dong, Ning (Tony) and Fischer, Martin and Khanzode, Atul },
editor={ },
title={Improving On-Site Meeting Efficiency by Using an Automated Model Breakdown Tool}, 
journal={25th Annual Conference of the International Group for Lean Construction}, 
booktitle={25th Annual Conference of the International Group for Lean Construction}, 
year={2017},
pages={397-404},
url={http://www.iglc.net/papers/details/1381},
doi={10.24928/2017/0217},
affiliation={DPR BIM Manager, DPR Construction LeonardoR@dpr.com ; DPR R&D Manager TonyD@dpr.com ; Center for Integrated Facility Engineering, Stanford University, Director Fischer@stanford.edu ; DPR Technology Group Director AtulK@dpr.com },
abstract={ Integrating Building Information Modelling (BIM) to on-site meetings in the construction phase has been a challenge to general contractors mainly due to the inflexibility of the current practice in grouping and organizing models to facilitate rapid, on-the-spot model queries. We have developed an automation tool that supports the automatic grouping of models according to a certain model breakdown structure (MBS), which reflects a breakdown structure of a project. This enables a model navigator to identify the relevant model contents on the fly in a meeting thus drastically reducing the coordination latency in resolving an issue. This paper introduces two case studies to explain a non-intrusive process of introducing federated models produced by the automation tool to the meetings. The results of surveys to the meeting participants prove that the non-intrusive process as well as the models reflecting multiple MBS's changed the meeting participants' behaviour and enhanced their coordination, communication, and collaboration, thus improving the overall outcomes of the meetings. },
author_keywords={Building Information Model (BIM), Model Breakdown Structure (MBS), Coordination Latency },
address={ Heraklion, Greece },
issn={2309-0979 },
publisher={ },
language={English},
document_type={Conference Paper},
source={IGLC},
}