IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/7183407.html
   My bibliography  Save this article

Novel Distance Measure in Fuzzy TOPSIS for Supply Chain Strategy Based Supplier Selection

Author

Listed:
  • B. Pardha Saradhi
  • N. Ravi Shankar
  • Ch. Suryanarayana

Abstract

In today’s highly competitive environment, organizations need to evaluate and select suppliers based on their manufacturing strategy. Identification of supply chain strategy of the organization, determination of decision criteria, and methods of supplier selection are appearing to be the most important components in research area in the field of supply chain management. In this paper, evaluation of suppliers is done based on the balanced scorecard framework using new distance measure in fuzzy TOPSIS by considering the supply chain strategy of the manufacturing organization. To take care of vagueness in decision making, trapezoidal fuzzy number is assumed for pairwise comparisons to determine relative weights of perspectives and criteria of supplier selection. Also, linguistic variables specified in terms of trapezoidal fuzzy number are considered for the payoff values of criteria of the suppliers. These fuzzy numbers satisfied the Jensen based inequality. A detailed application of the proposed methodology is illustrated.

Suggested Citation

  • B. Pardha Saradhi & N. Ravi Shankar & Ch. Suryanarayana, 2016. "Novel Distance Measure in Fuzzy TOPSIS for Supply Chain Strategy Based Supplier Selection," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-17, March.
    • Handle: RePEc:hin:jnlmpe:7183407
    DOI: 10.1155/2016/7183407
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2016/7183407.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2016/7183407.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2016/7183407?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
    ---><---

    More about this item

    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:hin:jnlmpe:7183407. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.