• DocumentCode
    2963850
  • Title

    Duration Estimation Method for Highway Construction Work

  • Author

    Liu Weijun

  • Author_Institution
    Sch. of Traffic & Transp. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    How to estimating the duration of construction work is a key factor to consider when scheduling a new highway project. Because highway construction projects are generally completed outdoors, this work is inevitably affected by kinds of random factors. There is the high level of uncertainty involved in highway construction. Current project planning based on traditional duration estimation method cannot clearly ascertain the level of uncertainty. This paper divides the random factors involved in highway construction into two groups: weather conditions and the other factors. According to the different characteristics of these two groups of the random factors, the paper proposes different methods to deal with them when estimating the work duration. The computer simulation technique is used to estimate the effect of weather conditions. The traditional PERT method is used to estimate the effect of the other random factors. Finally, a case study is conducted that confirms the method can be practically used to estimate more reliable durations of highway construction work.
  • Keywords
    PERT; construction industry; project management; random processes; road building; scheduling; PERT method; computer simulation technique; highway construction projects; highway construction work; highway project; project planning; random factors; scheduling; traditional duration estimation method; uncertainty level; weather conditions; work duration; Delay; Monte Carlo methods; Rain; Road transportation; Temperature distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6579-8
  • Type

    conf

  • DOI
    10.1109/ICMSS.2011.5998201
  • Filename
    5998201