[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/h/spr/lnechp/978-3-319-03907-7_12.html
   My bibliography  Save this book chapter

The Efficiency Analysis of Automated Lines of Companies Based on DEA Method

In: Decision Making and Knowledge Decision Support Systems

Author

Listed:
  • Igor Kovalev

    (Siberian State Aerospace University)

  • Pavel Zelenkov

    (Siberian State Aerospace University)

  • Sergey Ognerubov

    (Siberian Federal University)

Abstract
The approach to analyze the efficiency of the technical systems by DEA method is considered. DEA method and its modification are described. The modification allows analyzing the plants by bad outputs. The recycling factories are researched. Finding results are analyzed.

Suggested Citation

  • Igor Kovalev & Pavel Zelenkov & Sergey Ognerubov, 2015. "The Efficiency Analysis of Automated Lines of Companies Based on DEA Method," Lecture Notes in Economics and Mathematical Systems, in: Anna Maria Gil-Lafuente & Constantin Zopounidis (ed.), Decision Making and Knowledge Decision Support Systems, edition 127, pages 107-115, Springer.
  • Handle: RePEc:spr:lnechp:978-3-319-03907-7_12
    DOI: 10.1007/978-3-319-03907-7_12
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    DEA; Efficiency; Recycling; Analysis;
    All these keywords.

    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:spr:lnechp:978-3-319-03907-7_12. 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.