IDEAS home Printed from https://ideas.repec.org/a/wsi/apjorx/v21y2004i03ns0217595904000266.html
   My bibliography  Save this article

Probabilistic Order Level System When Items In Inventory Deteriorate And Delay In Payments Is Permissible

Author

Listed:
  • NITA H. SHAH

    (Department of Mathematics, Gujarat University, Ahmedabad — 380009, Gujarat, India)

Abstract

An order level inventory model is developed for deteriorating items with a constant rate of deterioration and vendor offering delay in payments. The model is developed under probabilistic demand. It is shown that the model derived can be related to the existing model for non-deteriorating items and when delay in payments is not permissible. The model is supported by a probability distribution function.

Suggested Citation

  • Nita H. Shah, 2004. "Probabilistic Order Level System When Items In Inventory Deteriorate And Delay In Payments Is Permissible," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 21(03), pages 319-331.
    • Handle: RePEc:wsi:apjorx:v:21:y:2004:i:03:n:s0217595904000266
    DOI: 10.1142/S0217595904000266
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0217595904000266
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0217595904000266?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Hardik Soni & Nita H. Shah, 2008. "Optimal Ordering and Trade Credit Policy for EOQ Model," Indus Journal of Management & Social Science (IJMSS), Department of Business Administration, vol. 2(1), pages 66-76, June.
    2. Nita H. Shah & Nidhi Raykundaliya, 2009. "Optimal Inventory Policies for Weibull Deterioration under Trade Credit in Declining Market," Indus Journal of Management & Social Science (IJMSS), Department of Business Administration, vol. 3(2), pages 11-20, December.
    3. Chandan Mahato & Gour Chandra Mahata, 2023. "Optimal Pricing and Inventory Decisions for Perishable Products with Multivariate Demand Function Under Trade Credit," SN Operations Research Forum, Springer, vol. 4(2), pages 1-26, June.

    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:wsi:apjorx:v:21:y:2004:i:03:n:s0217595904000266. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/apjor/apjor.shtml .

    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.