IDEAS home Printed from https://ideas.repec.org/a/ids/eujine/v7y2013i5p577-593.html
   My bibliography  Save this article

Economic order quantity for a power demand pattern system with deteriorating items

Author

Listed:
  • Joaquín Sicilia
  • Jaime Febles-Acosta
  • Manuel González-De la Rosa

Abstract

In this paper we develop a mathematical model to study optimal replenishment policy for an economic order quantity system considering items with deterioration. Demand is time dependent and follows a power pattern. The system operates over an infinite planning horizon. Replenishment is instantaneous and lot size is constant. The aim of the paper is to minimise the inventory average total cost per unit time. We propose a procedure for determining the efficient policy and the minimum inventory cost. Numerical examples are provided to illustrate the proposed model. [Received 11 June 2011; Revised 6 January 2012; Accepted 4 February 2012]

Suggested Citation

  • Joaquín Sicilia & Jaime Febles-Acosta & Manuel González-De la Rosa, 2013. "Economic order quantity for a power demand pattern system with deteriorating items," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 7(5), pages 577-593.
    • Handle: RePEc:ids:eujine:v:7:y:2013:i:5:p:577-593
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=57381
    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. Sicilia, Joaquín & González-De-la-Rosa, Manuel & Febles-Acosta, Jaime & Alcaide-López-de-Pablo, David, 2014. "An inventory model for deteriorating items with shortages and time-varying demand," International Journal of Production Economics, Elsevier, vol. 155(C), pages 155-162.
    2. 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.
    3. Luis A. San-José & Joaquín Sicilia & Manuel González-De-la-Rosa & Jaime Febles-Acosta, 2020. "Best pricing and optimal policy for an inventory system under time-and-price-dependent demand and backordering," Annals of Operations Research, Springer, vol. 286(1), pages 351-369, March.
    4. Luis A. San-José & Joaquín Sicilia & Manuel González-de-la-Rosa & Jaime Febles-Acosta, 2021. "Optimal Price and Lot Size for an EOQ Model with Full Backordering under Power Price and Time Dependent Demand," Mathematics, MDPI, vol. 9(16), pages 1-16, August.
    5. Minakshi Panda & Anuradha Sahoo, 2023. "Novel Methods for Solving Multi-Objective Non-linear Inventory Model of Highly Deteriorating Items," SN Operations Research Forum, Springer, vol. 4(3), pages 1-22, September.
    6. San-José, Luis A. & Sicilia, Joaquín & Cárdenas-Barrón, Leopoldo Eduardo & González-de-la-Rosa, Manuel, 2024. "A sustainable inventory model for deteriorating items with power demand and full backlogging under a carbon emission tax," International Journal of Production Economics, Elsevier, vol. 268(C).

    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:eujine:v:7:y:2013:i:5:p:577-593. 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=210 .

    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.