Abstract
The gray fuzzy predictive model of project costs is built based on the gray fuzzy predictive theory, which can be used to estimate the budget costs work scheduled of the unfinished project in construction phase, and then the budget costs work scheduled can be optimized and adjusted. Besides the buffer management mechanism of the project in construction stage is designed, which is applied to be a timely dynamics warning of project costs control. The gray fuzzy predictive model is combined with the buffer management mechanism of project costs control, which can be used to early dynamic warn and control in the whole construction process, project costs are ensured to be effectively controlled from the project beginning to the end of the project. Finally, the whole control objectives of project costs can be achieved. The gray fuzzy predictive model of project costs and the buffer management mechanism of project costs in construction stage can provide a new kind of way to estimate the budget costs work scheduled of unfinished project of the construction stage, which can provide an important guiding significance of cost management practice for construction enterprises.
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References
Shi-zhao, D.: Construction project management, pp. 56–86. China Building Industry Press, Beijing (2004)
Kerzener, H.: Project Management. Prentice Hal Inc., New York (2001)
Seeley, I.H.: Building economics. Macmillion Press Ltd., New York (2002)
Si-feng, L.: A gray system theory and its applications, pp. 36–88. Science Press (1999)
Ju-long, D.: Gray theoretical foundation, pp. 56–79. Huazhong University of Science and Technology Publishing House, Wuhan (2002)
Zhu-he, W., Yi, Y.: Construction of the project cost dynamic measurement system. Journal of Management Engineering, 75–78 (2003)
Jia, L., Bao-yi, W., Bao-sheng, Z.: Application of Improved Grey Prediction Model to Petroleum Cost Forecasting. Petroleum Science 3(2), 89–92
Christensen, D.S.: The costs and benefits of the Earned Value management Process. Acquisition Review Quarterly, 79–85 (1998)
An-bang, Q.: Earned Value Analysis of the mouth of the completion of the issue of cost-forecasting methods and the way out. Forecast 23(2), 56–60 (2004)
Xi-xing, L., Wei-hua, M.: The Theoretical Basis and Practical Application of Earned Value Method. J. Cent. South. Univ. Technology 9(6), 369–372 (2003)
Goldratt, E.M.: Critical Chain, pp. 78–86. The North River Press (1996)
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Liu, Jb., Ren, H., Li, Zm. (2009). Model on Dynamic Control of Project Costs Based on GM(1,1)for Construction Enterprises. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_170
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DOI: https://doi.org/10.1007/978-3-642-03664-4_170
Publisher Name: Springer, Berlin, Heidelberg
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