DocumentCode :
1657709
Title :
Notice of Retraction
Classification management mode of construction costs considering uncertainty level
Author :
Jianlin, Jiang ; Wenhua, Zhang ; Kangwu, Zhu
Author_Institution :
Faculty of Architectural, Civil Engineering and Environment; School of Economics & Management Ningbo University; Tongji University Ningbo, China; Shanghai, China
fYear :
2011
Firstpage :
1
Lastpage :
4
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Specific characteristics of construction project, such as long construction period, unfixed production sites, mostly open field operations and so on, result that many uncertain and uncontrollable factors exist in construction. It is necessary to systemically re-analysis and recombine whole construction cost in accordance with uncertainty level, and present corresponding methods and measures of management on the basis of it. In this paper, classification management mode of construction costs which take uncertainty level into account was systemically presented. Considering uncertainty degree of components of construction cost, it would be divided into certain cost, risk cost, and uncertain cost; according to different types of costs, appropriate analysis tools and management tactics were selected, and different management methods and measures were adopted. It has an important reference value for improving management level of construction cost, and enhancing competitiveness of construction enterprises.
Keywords :
Artificial neural networks; Civil engineering; Economics; Estimation; Measurement uncertainty; Monte Carlo methods; Uncertainty; construction cost; cost management; risk; uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-8691-5
Type :
conf
DOI :
10.1109/ICEBEG.2011.5882557
Filename :
5882557
Link To Document :
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