Construction Engineering Bidding Risk Analysis

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Abstract:

In the Bill of Quantities mode, the bidder must take risks of his tender offer. This paper researched on the uncertainty of construction projects costs, proposed Monte Carlo simulation method and procedure to simulate the construction projects costs on the basis of the construction projects costs conform to the characteristics of normal distribution, and also put forward a method to calculate risks of the tender offer in accordance with the established bidding strategy, which are helpful to the risk management and control of project contracting enterprises.

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Periodical:

Advanced Materials Research (Volumes 671-674)

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2990-2994

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March 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Roger Flanagan, George Norman, Shirong Li, Engineering construction risk management, China Architecture and Building Press, (2000).

Google Scholar

[2] Akintola, S. Akintoye, Malcolm, J. Macleod, Risk analysis and management in construction[J], International Journal of Project Management, 1997, 15(1): 31~38.

DOI: 10.1016/s0263-7863(96)00035-x

Google Scholar

[3] Zhuofu Wang, Project risk management, China WaterPower Press, (2003).

Google Scholar

[4] Lin Li, Shucheng Li, Daoping Wang, Research on the estimate method of project schedule based on the risk analysis [J], Systems engineering, 2001, 19()5: 77~81.

Google Scholar

[5] Daniel, Baloi, Andrew, D.F. Price. Modelling, global risk factors affecting construction cost performance[J]. International Journal of Project Management, 2003, 21(4): 251~269.

DOI: 10.1016/s0263-7863(02)00017-0

Google Scholar

[6] Xiuyun Wang, analysis and management of International contracting project cost risk quantification, international economic cooperation, 2011, 2: 59~63.

Google Scholar

[7] Xiaoqian Tang, risk analysis of integrated unit price based on Monte Carlo, Power and Energy.

Google Scholar