IDEAS home Printed from https://ideas.repec.org/a/ids/ijsoma/v13y2012i1p98-118.html
   My bibliography  Save this article

Three echelon supply chain inventory model for deteriorating items with limited storage facility and lead-time under inflation

Author

Listed:
  • Neeraj Kumar
  • S.R. Singh
  • Rachna Kumari

Abstract

In this study, we have explored a three echelon supply chain inventory model with limited storage facility under inflation. The supplier experiences the problem of lead-time at his end. So even though the retailer has placed the order, he has to wait for the supplier to deliver. The lead-time of the supplier is a probability density function of his managing cost. The more the supplier is ready to spend as managing expenses, smaller will be the lead time and vice versa. However, there is a constraint upon the amount the supplier can afford to spend; hence there involved capital constraint also. For the retailer, we have considered the two situations according to rented and own warehouse used. Due to the life time in RW, the product has no deterioration but in OW, the product has deterioration. The setup has been explored numerically and the sensitivity has also been analysed.

Suggested Citation

  • Neeraj Kumar & S.R. Singh & Rachna Kumari, 2012. "Three echelon supply chain inventory model for deteriorating items with limited storage facility and lead-time under inflation," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 13(1), pages 98-118.
    • Handle: RePEc:ids:ijsoma:v:13:y:2012:i:1:p:98-118
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=48277
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Janssen, Larissa & Claus, Thorsten & Sauer, Jürgen, 2016. "Literature review of deteriorating inventory models by key topics from 2012 to 2015," International Journal of Production Economics, Elsevier, vol. 182(C), pages 86-112.
    2. Abedinnia, Hamid & Moghaddamkia, Hoda & Glock, C. H., 2016. "A joint economic lot size model under continuously increasing purchase prices of raw materials," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 82129, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    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:ids:ijsoma:v:13:y:2012:i:1:p:98-118. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=150 .

    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.