• DocumentCode
    2222476
  • Title

    Using historical data for forecasting S-curves at construction industry

  • Author

    Banki, M.T. ; Esmaeeli, B.

  • Author_Institution
    Dept. of Civil Eng., Amirkabir Univ., Tehran, Iran
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    282
  • Lastpage
    286
  • Abstract
    Cash flow forecasting and control are essential to the survival of any contractor. The time available for a detailed pre-tender cash flow forecast is often limited. Therefore, contractors require simpler and quicker techniques which would enable them to forecast cash flow with reasonable accuracy. The paper is based on classifying projects into groups and producing a standard curve for each group simply by fitting one curve into the historical data A sample of data from 7 projects was collected which all of them were harbor construction project in Iran. S-curves were fitted into each using the logit transformation technique. Errors incurred when fitting these curves were measured and compared with those associates in fitting individual projects. Results showed that the difference between these errors was not significant. The results of the model developed in this paper were compared with previous models and evaluated. It is concluded that the model produced more accurate results than existing value and cost models
  • Keywords
    construction industry; economic forecasting; financial management; project management; S-curve forecasting; cash flow control; cash flow forecasting; construction industry; construction project; historical data; logit transformation technique; Civil engineering; Construction industry; Costs; Curve fitting; Financial management; Job shop scheduling; Load forecasting; Predictive models; Project management; Testing; Cash flow; Construction industry; Financial forecasting; Project management; S-curves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4737875
  • Filename
    4737875