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BOQ bidding strategy under cost analysis and research

Author: ChenZuo
Tutor: LiYing
School: West China University
Course: Structural Engineering
Keywords: Bill of Quantities Bidding Strategy Corporate profits BP neural network Basic profit forecast model
CLC: F284
Type: Master's thesis
Year: 2011
Downloads: 291
Quote: 3
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Abstract


With the increasing globalization of the construction industry and information technology, China's construction enterprises increasingly fierce competition, this competition is mainly manifested in bidding activities. Bill of Quantities mode is intended bidding fair and open competition, and reflect the corporate cost and the average cost of individual differences. If construction enterprises in the tender offer by ignoring their level of productivity, not thorough analysis and a good grasp of corporate profits, can not make appropriate and reasonable bidding strategy, competitive bidding will face many risks, and even cause bid failed. Construction enterprises to participate in the competition, to adapt to competition and eventually become the winner, this article from the perspective of the construction business, consider bidding market situation and the current bid construction enterprises are facing the problem, a profound analysis of the competitive environment and construction companies profit margins, proposed bidding strategy is the solution \Under the current bill of quantities mode with the construction enterprise status, elaborate conventional and emerging various bidding strategies, in-depth analysis and research decisions and bidding tender offer these two factors impact on bidding strategies, especially in the tender Quote regard, noting that corporate profits are bidding strategy's core, further proposed construction companies on corporate profits high, medium and low levels of expectations, by reflecting the level of productivity of construction enterprises to grasp the basic analysis of profit margins, thereby optimizing bidding strategy . Based on BP neural network using MATLAB neural network toolbox to establish tender offer basic margin prediction model by BP neural network training samples can effectively solve the tender offer in a number of factors. More accurately predict results not only reflect the profit margins of the tender offer, also more truly reflect the level of personal productivity. Using the basic profit forecast model provides objective and accurate analysis of the data, combined with expected profits, optimize and adjust bidding strategy, not only to make up the traditional bidding strategies of some defects, and optimized bidding strategy has a better rationality, scientific relevance. This paper established a tender offer basic margin forecast model and proposed construction companies bidding strategy optimization method, in the current construction project bidding situation of intense competition, not only for construction companies bidding has practical significance, and will to some extent improving competitiveness and productivity of the tender management level.

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