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Construction process simulation based on significant day-to-day data

 Construction process simulation based on significant day-to-day data
Author(s): ,
Presented at 17th IABSE Congress: Creating and Renewing Urban Structures – Tall Buildings, Bridges and Infrastructure, Chicago, USA, 17-19 September 2008, published in , pp. 618-619
DOI: 10.2749/222137908796294234
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This paper presents developments to improve the controlling of construction progress in complex building projects by using simulation. Thus it points out the great potential of simulation that aris...
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Bibliographic Details

Author(s):

Medium: conference paper
Language(s): English
Conference: 17th IABSE Congress: Creating and Renewing Urban Structures – Tall Buildings, Bridges and Infrastructure, Chicago, USA, 17-19 September 2008
Published in:
Page(s): 618-619 Total no. of pages: 8
Page(s): 618-619
Total no. of pages: 8
Year: 2008
DOI: 10.2749/222137908796294234
Abstract:

This paper presents developments to improve the controlling of construction progress in complex building projects by using simulation. Thus it points out the great potential of simulation that arises from identifying long-term consequences at earlier stages. Therewith the controlling and flexibility in case of changed conditions will increase enormously. As basis for simulation models the real- time state of construction has to be captured. In consequence the paper discusses how to combine different controlling tools for gathering construction performance and for deriving on the real on- site status.

The approach is structured into three parts. The definition of data, which are actually needed for evaluating a current on-site status, the instruments that can effectively be used for the data evaluation, and the creation of a structured process model based on the aforementioned aspects. Finally future lines of development of the real time based simulation are discussed.

Keywords:
optimization construction process simulation process monitoring state of work evaluation techniques day-to-day data