DocumentCode :
2567671
Title :
Belief networks in construction simulation
Author :
McCabe, Brenda
Author_Institution :
Dept. of Civil Eng., Toronto Univ., Ont., Canada
Volume :
2
fYear :
1998
fDate :
13-16 Dec 1998
Firstpage :
1279
Abstract :
A method for automatically improving the performance of construction operations was developed by the integration of computer simulation and belief networks. The simulation model is used to represent the operation and to determine the effect that changes in resource configuration have on the model´s performance. The belief network provides diagnostic analysis of the performance and recommendations for changes to the model. Modifications to the simulation model include selection of alternative resources and resource quantities. The method is based upon the assumption that ultimate objectives, such as lower costs or a shorter project duration, will result from efficient use of resources. Therefore, the improvement process is focused upon resource performance instead of cost or duration. The approach is iterative, and provides the modeler with results even if user-defined constraints related to performance limits are not met
Keywords :
belief networks; building; civil engineering computing; costing; digital simulation; performance index; resource allocation; belief networks; computer simulation; construction operations performance improvement; construction simulation; cost objectives; diagnostic analysis; efficient resource use; improvement process; iterative approach; model performance; performance limits; project duration; resource configuration changes; resource performance; resource quantities; resource selection; simulation model modifications; user-defined constraints; Computational modeling; Computer simulation; Construction industry; Costs; Cyclones; Intelligent networks; Mathematical model; Response surface methodology; Search methods; Surface fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference Proceedings, 1998. Winter
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5133-9
Type :
conf
DOI :
10.1109/WSC.1998.745991
Filename :
745991
Link To Document :
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