IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/9236414.html
   My bibliography  Save this article

A Model for Sorting Activities to Be Outsourced in Civil Construction Based on ROR-UTADIS

Author

Listed:
  • Rachel Perez Palha
  • Adiel Teixeira de Almeida
  • Luciana Hazin Alencar

Abstract

The subcontractor’s selection problem is currently treated as a supply chain problem with a prequalification procedure to balance the main objectives of the client: cost, quality, and time. Unfortunately, most of the selection processes are analysed under the same methodology without considering that variations in project, type of activity, and other attributes should affect the chosen method. To provide a novel form of treating subcontractor’s selection, we proposed an additive sorting method to categorize activities to be outsourced in civil construction based on ROR-UTADIS method, which is a modification of the UTADIS method that includes new forms of supplying preference information. It was applied in the construction of a brewery in Brazil. It was perceived that the method is applicable and intuitive for decision makers, even though there are quite a few points to be taken, analysed to avoid misclassification.

Suggested Citation

  • Rachel Perez Palha & Adiel Teixeira de Almeida & Luciana Hazin Alencar, 2016. "A Model for Sorting Activities to Be Outsourced in Civil Construction Based on ROR-UTADIS," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-15, February.
  • Handle: RePEc:hin:jnlmpe:9236414
    DOI: 10.1155/2016/9236414
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2016/9236414.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2016/9236414.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2016/9236414?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ru, Zice & Liu, Jiapeng & Kadziński, Miłosz & Liao, Xiuwu, 2023. "Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences," European Journal of Operational Research, Elsevier, vol. 311(2), pages 596-616.

    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:9236414. 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.