IDEAS home Printed from https://ideas.repec.org/a/spr/operea/v24y2024i2d10.1007_s12351-024-00838-5.html
   My bibliography  Save this article

A new common weights DEA model based on cluster analysis

Author

Listed:
  • Nam Hyok Kim

    (University of Science & Technology Beijing
    Kim Il Sung University)

  • Feng He

    (University of Science & Technology Beijing)

  • Kwon Ryong Hong

    (University of Science & Technology Beijing
    Kim Il Sung University)

  • Hyok-Chol Kim

    (Kim Il Sung University)

  • Sok-Min Han

    (Kim Il Sung University)

Abstract

The data envelopment analysis (DEA) is a data-driven tool for performance evaluation. Standard DEA assigns the most favorable weights to decision-making units (DMUs), so it is impossible to compare and rank those on the same basis. Common weights DEA models assign a common weight vector to all DMUs to provide the same basis for evaluation, and most studies have been discussed only in terms of the distance between an ideal value and a real value. The paper proposes a new common weights DEA model based on cluster analysis. A clustering method of DMUs by the production function is suggested by using the global reference set and the determination of the common weights is discussed. The numerical experiments are illustrated to examine the validity of the proposed model, and the experiments show that the model gives reasonable results compared to previous studies. The common weights DEA model is applied to evaluate the environmental efficiency of China’s 48 iron and steel enterprises. The proposed model is the first study for obtaining common weights by considering cluster analysis.

Suggested Citation

  • Nam Hyok Kim & Feng He & Kwon Ryong Hong & Hyok-Chol Kim & Sok-Min Han, 2024. "A new common weights DEA model based on cluster analysis," Operational Research, Springer, vol. 24(2), pages 1-35, June.
    • Handle: RePEc:spr:operea:v:24:y:2024:i:2:d:10.1007_s12351-024-00838-5
    DOI: 10.1007/s12351-024-00838-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12351-024-00838-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12351-024-00838-5?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.

    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:spr:operea:v:24:y:2024:i:2:d:10.1007_s12351-024-00838-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.