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Cost Control Method and Software in Bidding Process Based on Gray System Forecast

DOI: 10.1155/2014/296241

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Abstract:

With the fast development of social economy, the competition between enterprises in construction projects becomes more and more serious. The cost control method is proposed to the bidding process of enterprises based on the gray system forecast. At the same time, the cost control software is also constructed to the bidding process of enterprises. Experimental results suggest that the proposed approach is feasible and correct. 1. Introduction With the fast development of social economy, the competition between enterprises in construction projects becomes more and more fierce. As a result, the low bid has become the major trend and the profit space is smaller and smaller. In this situation, enterprises pay more attention to the cost control of construction projects, regarding the cost control object as an important assessment indicator and improving their core competence through internal management. The coming information era has a revolutionary impact on manufacturing, electronics, and so on. In manufacturing industries, it is a long history since the digital model has acted as a crucial production instrument, and technologies such as numerical control and 3D software have played a prominent role in improving production efficiency. Nowadays, with the construction installation developing toward the low-energy and low-pollution sustainable direction in such a fierce international competitive environment, the operation mode and technologies in traditional CAD era cannot meet various challenges any more, and information technologies have become the main development trend of current construction installation industries in China. The emergence of BIM has just catered for the demand of information technologies, with prominent value advantages in information exchange and sharing, improving the decision-making speed and accuracy, lowering cost and increasing production quality et al. 2. Literature Review Unlike China, western countries pay much attention to the cost control involved in economic development very early. This is mainly determined by their unique social and economic conditions. Similarly, the concept of cost control of construction projects forms gradually as the economy develops [1, 2]. Early in the 20th century, the father of production plan progress chart, also the forerunner of scientific management, Henry Lawrence Gantt, founded “Gantt chart” (also called “Bar chart”), which has opened the door of project planning and scientific control and laid a solid foundation for the development of network planning [3–5]. In 1955, the US navy established a

References

[1]  Y. A. Olawale and M. Sun, “Cost and time control of construction projects: Inhibiting factors and mitigating measures in practice,” Construction Management and Economics, vol. 28, no. 5, pp. 509–526, 2010.
[2]  J. S. Shane, K. R. Molenaar, S. Anderson, and C. Schexnayder, “Construction project cost escalation factors,” Journal of Management in Engineering, vol. 25, no. 4, pp. 221–229, 2009.
[3]  K. M. Nassar, W. M. Nassar, and M. Y. Hegab, “Evaluating cost overruns of asphalt paving project using statistical process control methods,” Journal of Construction Engineering and Management, vol. 131, no. 11, pp. 1173–1178, 2005.
[4]  J. A. Kuprenas, “Construction project cost performance prediction based on project bid characteristics,” in Construction Research Congress 2005: Broadening Perspectives-Proceedings of the Congress, pp. 957–965, 2005.
[5]  L. S. Riantini, A. Veronika, and B. A. Firmansyah, “Identification of corrective action recommendation for labor management in project cost control,” in Proceedings of the 4th International Structural Engineering and Construction Conference : Innovations in Structural Engineering and Construction, vol. 2, pp. 1439–1442, 2008.
[6]  E. Thalheimer, “Construction noise control program and mitigation strategy at the Central Artery/Tunnel Project,” Noise Control Engineering Journal, vol. 48, no. 5, pp. 157–165, 2000.
[7]  D. Agdas and R. D. Ellis, “Analysis of Temporary Traffic Control cost items in transportation construction bidding process,” in Proceedings of the Construction Research Congress 2010: Innovation for Reshaping Construction Practice, pp. 1103–1114, May 2010.
[8]  L. Liu and K. Zhu, “Improving cost estimates of construction projects using phased cost factors,” Journal of Construction Engineering and Management, vol. 133, no. 1, pp. 91–95, 2007.
[9]  G. D. Creedy, M. Skitmore, and J. K. W. Wong, “Evaluation of risk factors leading to cost overrun in delivery of highway construction projects,” Journal of Construction Engineering and Management, vol. 136, no. 5, pp. 528–537, 2010.
[10]  Z. Jim, “A project cost control model,” Cost Engineering, vol. 17, pp. 3–6, 1998.
[11]  T. Frose, “Industry foundation classes for: project management a trial implementation,” International Journal of Project Management, vol. 17, pp. 30–41, 1999.
[12]  E. D. Peter and Z. I. Love, “A project management quality cost information system: for the construction industry,” Information & Management, vol. 40, pp. 649–661, 2003.
[13]  P. M. Lurie, “Mediation: An engineer's tool to control project cost,” Journal of Professional Issues in Engineering Education and Practice, vol. 132, no. 4, pp. 322–323, 2006.
[14]  J. Pajares and A. López-Paredes, “An extension of the EVM analysis for project monitoring: the Cost Control Index and the Schedule Control Index,” International Journal of Project Management, vol. 29, no. 5, pp. 615–621, 2011.

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