IDEAS home Printed from https://ideas.repec.org/a/hin/jnlaaa/251694.html
   My bibliography  Save this article

A Study on Iterative Algorithm for Stochastic Distribution Free Inventory Models

Author

Listed:
  • Jennifer Lin

Abstract

We studied the iterative algorithm in Tung et al. (2010) to find out that their assertion is questionable. We derived two new relations between safe factor and order quantity so that we can execute the iterative algorithm proposed by Wu and Ouyang (2001). We have proved that three generated sequences indeed converge to provide a theoretical validation for their iterative procedure.

Suggested Citation

  • Jennifer Lin, 2013. "A Study on Iterative Algorithm for Stochastic Distribution Free Inventory Models," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-3, March.
    • Handle: RePEc:hin:jnlaaa:251694
    DOI: 10.1155/2013/251694
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/AAA/2013/251694.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/AAA/2013/251694.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/251694?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ting-Chen Hu & Kuo-Chen Hung & Kuo-Lung Yang, 2019. "The Convergence of Gallego’s Iterative Method for Distribution-Free Inventory Models," Mathematics, MDPI, vol. 7(5), pages 1-10, May.

    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:jnlaaa:251694. 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.