IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-030-74644-5_12.html
   My bibliography  Save this book chapter

Using Other Multi-Attribute Decision-Making Techniques to Measure Efficiency When Data Envelopment Analysis Fails

In: Introduction to Internet of Things in Management Science and Operations Research

Author

Listed:
  • William P. Fox

    (College of William & Mary)

  • Ethan Buck

    (College of William and Mary)

  • John Morris

    (College of William and Mary)

  • Oliver Stein

    (College of William and Mary)

  • Simon Sun

    (College of William and Mary)

  • Rebecca Rousseau

    (College of William and Mary)

  • Asanah Teneng

    (College of William and Mary)

Abstract

In this article, we show an example of data envelopment analysis that does not provide us with efficiencies based on the same selection of inputs and outputs that were provided by the decision maker. Therefore, we select another multi-attribute decision making tool such as TOPSIS. TOPSIS is modified to calculate “efficiency” and we use entropy weighting method in order to use all the inputs and outputs in our efficiency decision process. Our case study is applied to an example of sensor procurement within the Internet of Things.

Suggested Citation

  • William P. Fox & Ethan Buck & John Morris & Oliver Stein & Simon Sun & Rebecca Rousseau & Asanah Teneng, 2021. "Using Other Multi-Attribute Decision-Making Techniques to Measure Efficiency When Data Envelopment Analysis Fails," International Series in Operations Research & Management Science, in: Fausto Pedro García Márquez & Benjamin Lev (ed.), Introduction to Internet of Things in Management Science and Operations Research, pages 247-258, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-74644-5_12
    DOI: 10.1007/978-3-030-74644-5_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.

    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:isochp:978-3-030-74644-5_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.