DocumentCode :
3357236
Title :
Analysis of distribution rule of morbidity phenomena in construction project in China
Author :
Xueliang, Hou ; Wenjun, Chen
Author_Institution :
Dept. of Constr. Manage., North China Electr. Power Univ., Beijing, China
fYear :
2010
fDate :
26-28 June 2010
Firstpage :
1472
Lastpage :
1475
Abstract :
In order to open out the distribution rule of morbidity phenomena in construction projects, a large amount of information about morbidity phenomena has been investigated and 571 project managers in 33 construction companies are visited. According to the investigation results, all kinds of morbidity phenomena and its frequencies are summed up; their primary and secondary relationships and distribution rules in every stage are described by means of statistics. And then, their characteristics are explained. Third, through the mathematic characteristic analysis of morbidity phenomena, the distribution of all morbidity phenomena in construction projects is also described according to sub-sample capacitances of all morbidity phenomena in four stages. It shows that the research result would be an useful and confirmatory evidence for project managers forecasting project problems, making project plan and optimizing project resources, as well as controlling whole project state.
Keywords :
construction industry; forecasting theory; planning; project management; statistical analysis; China; construction project; distribution rule; forecasting project problem; mathematic characteristic analysis; morbidity phenomena; project plan making; project state control; statistics; sub-sample capacitances; Capacitance; Decision making; Delay; Energy management; Frequency; Information analysis; Mathematics; Project management; Resource management; Statistical distributions; characteristic; construction project; distribution; morbidity phenomena; problem; rule;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
Type :
conf
DOI :
10.1109/MACE.2010.5536108
Filename :
5536108
Link To Document :
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