IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v33y2018i3p315-350.html
   My bibliography  Save this article

An economic production lot size model for randomly imperfect production system with stock-dependent demand and rework

Author

Listed:
  • Manoranjan De
  • Barun Das
  • Manoranjan Maiti

Abstract

This paper considers a single item, imperfect economic production lot-size (EPL) model with stock-dependent demand and partial rework. In real life EPL models, defective production commences from the out-of-control state, after the passage of some time from production commencement. Its occurrence is random after the lapse of certain time and imposed here through a chance constraint. The set-up cost is partly production dependent. Unit production cost is also production dependent and a part of it is taken as environment protection cost. Defective rate is also assumed to be random and production dependent. The model is formulated as an average cost minimisation problem subject to a chance constraint and solved using a nonlinear optimisation technique - generalised reduced gradient (GRG) method through LINGO 11.0. Several special cases are derived and more specifically, the present investigation the works of Sana (2010) and Khouja and Mehrez (1994). Numerical experiments are performed to illustrate the general and particular models. Some sensitivity analyses are presented against few model parameters.

Suggested Citation

  • Manoranjan De & Barun Das & Manoranjan Maiti, 2018. "An economic production lot size model for randomly imperfect production system with stock-dependent demand and rework," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 33(3), pages 315-350.
  • Handle: RePEc:ids:ijores:v:33:y:2018:i:3:p:315-350
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=95624
    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.

    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:ijores:v:33:y:2018:i:3:p:315-350. 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=170 .

    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.