• DocumentCode
    3363485
  • Title

    CRCS/CCS: An integrated probabilistic construction cost control approach for highway project

  • Author

    He, Weiyi ; Yin, Yilin

  • Author_Institution
    Sch. of Manage., Tianjin Univ. of Technol., Tianjin, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    1182
  • Lastpage
    1184
  • Abstract
    The recent focus on improving the performance of construction cost control for highway project in China has led to a demand from industry for approaches that can cope with increasing complexity. Whilst many existing research now providing the methods to control for deviation from cost standards after finding cost variance, other factors such as component cost risk are still widely ignored. CRCS/CCS, an integrated construction cost control approach is presented in this paper. The approach utilizes a stochastic construction cost control system namely CRCS based upon the risk management theory in conjunction with a series of traditional deterministic cost control methods which are used in each project´s stage namely CCS. In CRCS, a probabilistic cost forecast model fore feed the information of construction cost variance and its contributors to activate CCS not just to adjust in feedback but also to prevent cost variance in advance.
  • Keywords
    costing; probability; road building; roads; CRCS-CCS; component cost risk; cost standards; cost variance; highway project; integrated probabilistic construction cost control approach; probabilistic cost forecast model; risk management theory; stochastic construction cost control system; Carbon capture and storage; Construction industry; Control systems; Costs; Cyclic redundancy check; Industrial control; Predictive models; Risk management; Road transportation; Stochastic systems; Highway; construction; cost control system; cost risk control system; fore feed; integration; probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5536458
  • Filename
    5536458