IDEAS home Printed from https://ideas.repec.org/a/igg/jsds00/v3y2012i2p1-19.html
   My bibliography  Save this article

Fuzzification of EOQ Model Under the Condition of Permissible Delay in Payments

Author

Listed:
  • Chandra K. Jaggi

    (University of Delhi, India)

  • Anuj Sharma

    (University of Delhi, India)

  • Reena Jain

    (University of Delhi, India)

Abstract

This paper formulates an economic order quantity inventory model under the condition of permissible delay in payments in fuzzy environment. All the parameters of the model, excluding permissible delay period and cycle length, are taken to be trapezoidal Fuzzy numbers. The arithmetic operations are defined under the function principle. The cost function has been defuzzified using signed distance method and thereby solved to obtain the optimal replenishment period. The numerical example is presented to show the validity of the model followed by sensitivity analysis.

Suggested Citation

  • Chandra K. Jaggi & Anuj Sharma & Reena Jain, 2012. "Fuzzification of EOQ Model Under the Condition of Permissible Delay in Payments," International Journal of Strategic Decision Sciences (IJSDS), IGI Global, vol. 3(2), pages 1-19, April.
  • Handle: RePEc:igg:jsds00:v:3:y:2012:i:2:p:1-19
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jsds.2012040101
    Download Restriction: no
    ---><---

    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:igg:jsds00:v:3:y:2012:i:2:p:1-19. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.