IDEAS home Printed from https://ideas.repec.org/a/taf/tjorxx/v70y2019i4p689-706.html
   My bibliography  Save this article

A two-phase binary-goal programming-based approach for optimal project-team formation

Author

Listed:
  • Fatih Cavdur
  • Asli Sebatli
  • Merve Kose-Kucuk
  • Cagla Rodoplu

Abstract

This study presents a two-phase binary-goal programming-based approach for solving a novel system design project-team formation problem which involves several restrictions and requirements as well as the preferences of the potential team members. The problem instance considered in this study basically includes two types of allocations, as the allocations of students and academic advisers, which are performed in the first and second phase of the proposed solution approach, respectively. Although it represents a particular case as represented in this study, it can be easily generalised to be used for solving similar project-team formation problems. We implement our methodology on a real-life problem in an academic institution and compare our solutions to the real-life allocations performed manually. It is noted that, in terms of satisfying the goals of the problem, our approach significantly outperforms the real-life allocations. In addition, computational results show our model’s ability to solve similar-sized real-life problems in reasonable time periods on an average personal computer, implying its potential for significant savings in terms of the human resources available.

Suggested Citation

  • Fatih Cavdur & Asli Sebatli & Merve Kose-Kucuk & Cagla Rodoplu, 2019. "A two-phase binary-goal programming-based approach for optimal project-team formation," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(4), pages 689-706, April.
    • Handle: RePEc:taf:tjorxx:v:70:y:2019:i:4:p:689-706
    DOI: 10.1080/01605682.2018.1457480
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01605682.2018.1457480
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01605682.2018.1457480?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Xiong Wang & Fernando A. F. Ferreira & Pengyu Yan, 2024. "A multi-objective competency-based decision support system for the assignment of internal auditors to multiple projects," Annals of Operations Research, Springer, vol. 338(1), pages 303-334, July.
    2. Horasan, Muhammed Bilal & Kilic, Huseyin Selcuk, 2022. "A multi-objective decision-making model for renewable energy planning: The case of Turkey," Renewable Energy, Elsevier, vol. 193(C), pages 484-504.

    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:taf:tjorxx:v:70:y:2019:i:4:p:689-706. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjor .

    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.