IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v29y2020i4p558-592.html
   My bibliography  Save this article

A hesitant fuzzy model for ranking maintenance strategies in small and medium-sized enterprises

Author

Listed:
  • Mohsen Shafiei Nikabadi
  • S. Behnam Razavian

Abstract

Presently, the topic of ranking is very significant. Most of real world affairs can be solved by using decision-making techniques. Selecting and ranking of maintenance strategies are sometimes complicated. They have no proper structure and also have multi-criteria viewpoint. Hence, proper selecting and ranking could be considered as a multiple-criteria decision-making (MCDM). Consequently, the main goal of this research is selecting the best maintenance strategy by applying factor analysis (FA) technique and also decision-making methods in the hesitant fuzzy domain. In this study firstly by applying literature and experts' viewpoints on maintenance, the variables and their sub-variables were identified. Then, to reduce the number of variables, the factor analysis method was used. Additionally, to calculate the weights of sub-variables De Luca-Termini, which is a normalised hesitant entropy method, was applied. Finally, the strategies were ranked by using hesitant fuzzy VIKOR method. According to this research, the maintenance strategy based on reliable has higher priority in comparison with the others.

Suggested Citation

  • Mohsen Shafiei Nikabadi & S. Behnam Razavian, 2020. "A hesitant fuzzy model for ranking maintenance strategies in small and medium-sized enterprises," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 29(4), pages 558-592.
    • Handle: RePEc:ids:ijpqma:v:29:y:2020:i:4:p:558-592
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=106424
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:ids:ijpqma:v:29:y:2020:i:4:p:558-592. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=177 .

    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.