IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/3971791.html
   My bibliography  Save this article

A Two-Stage Stochastic Model for Maintenance and Rehabilitation Planning of Pavements

Author

Listed:
  • Mahmoud Ameri
  • Armin Jarrahi
  • Farshad Haddadi
  • Mohammad Hasan Mirabimoghaddam

Abstract

Pavement maintenance and rehabilitation (M&R) plan for maintaining the pavement quality in an acceptable level has direct influence on the required budget. Deterministic budgeting is an unrealistic assumption, so, in this study, a two-stage stochastic model using integer programming is developed to address uncertainty in budgeting. Another aim of this study is to develop an executive model that considers a broad range of parameters at network level maintenance and rehabilitation planning. While having too many details in planning problems makes them more complicated, some restrictions called “technical constraints” were considered to reduce solution time of solving procedure as well as improve M&R activities assignment efficiency. Comparing results of the stochastic model with a deterministic model for a case study revealed that the two-stage stochastic model led to increased total cost compared to the deterministic one due to considering probability in budgeting. However, the developed model provides several M&R plans that are compatible with budget variation.

Suggested Citation

  • Mahmoud Ameri & Armin Jarrahi & Farshad Haddadi & Mohammad Hasan Mirabimoghaddam, 2019. "A Two-Stage Stochastic Model for Maintenance and Rehabilitation Planning of Pavements," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-15, January.
    • Handle: RePEc:hin:jnlmpe:3971791
    DOI: 10.1155/2019/3971791
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2019/3971791.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2019/3971791.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2019/3971791?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:3971791. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.