IDEAS home Printed from https://ideas.repec.org/a/wut/journl/v4y2012p87-103id1035.html
   My bibliography  Save this article

Application of fuzzy numbers to the estimation of an ongoing project's completion time

Author

Listed:
  • Dorota Kuchta

Abstract

A dynamic, interactive approach to the control of a project’s realization time is proposed. The duration time of the project’s activities is assumed to depend on certain factors whose influence may change in time. Based on the project’s history up to a certain moment, the change in influence of these factors has been evaluated and estimates of the duration of activities which have not been started yet are updated. The estimates of the duration time of the activities and project are expressed in the form of fuzzy numbers. This allows us to keep a constant track of the risk of the project not keeping the deadline and to be aware of which factors influence delays, thus where to act in order to minimize the final delay while it is not yet too late – in the course of the project’s realization, as early as possible.

Suggested Citation

  • Dorota Kuchta, 2012. "Application of fuzzy numbers to the estimation of an ongoing project's completion time," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 22(4), pages 87-103.
    • Handle: RePEc:wut:journl:v:4:y:2012:p:87-103:id:1035
    DOI: 10.5277/ord120405
    as

    Download full text from publisher

    File URL: https://ord.pwr.edu.pl/assets/papers_archive/1035%20-%20published.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.5277/ord120405?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
    ---><---

    References listed on IDEAS

    as
    1. Dariusz Skorupka, 2009. "Method of planning construction projects, taking into account risk factors," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(3), pages 119-128.
    2. Cho, Sungbin, 2009. "A linear Bayesian stochastic approximation to update project duration estimates," European Journal of Operational Research, Elsevier, vol. 196(2), pages 585-593, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kim, Byung-Cheol, 2022. "Multi-factor dependence modelling with specified marginals and structured association in large-scale project risk assessment," European Journal of Operational Research, Elsevier, vol. 296(2), pages 679-695.
    2. Yuri S. Popkov & Yuri A. Dubnov & Alexey Yu. Popkov, 2016. "New Method of Randomized Forecasting Using Entropy-Robust Estimation: Application to the World Population Prediction," Mathematics, MDPI, vol. 4(1), pages 1-16, March.

    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:wut:journl:v:4:y:2012:p:87-103:id:1035. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Adam Kasperski (email available below). General contact details of provider: https://edirc.repec.org/data/iopwrpl.html .

    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.