IDEAS home Printed from https://ideas.repec.org/a/ids/eujine/v11y2017i5p613-630.html
   My bibliography  Save this article

An approach for rush order acceptance decisions using simulation and multi-attribute utility theory

Author

Listed:
  • Faisal Aqlan
  • Abdulaziz Ahmed
  • Omar Ashour
  • Abdulrahman Shamsan
  • Mohammad M. Hamasha

Abstract

Rush orders are orders with shorter lead times and higher operating priorities compared to regular orders. A company may accept rush order, regardless of its capacity or raw material constraints, to maintain customer satisfaction and/or increase profit. On the other hand, rush orders can cause problems in managing production systems due to the unbalanced use of system resources. In this paper, discrete event simulation (DES) and multi-attribute utility theory (MAUT) are integrated to study the impact of rush orders on the performance of a hybrid push-pull production system. The proposed approach is used to identify the best acceptance levels of rush orders. Numerical results showed that prioritising customer orders based on their associated utilities can improve the performance of a production system. In addition, the best acceptance levels of rush orders can be determined by maximising the performance of the production system while considering production constraints. [Received 25 May 2015; Revised 1 August 2016; Revised 6 September 2016; Revised 3 March 2017; Accepted 5 June 2017]

Suggested Citation

  • Faisal Aqlan & Abdulaziz Ahmed & Omar Ashour & Abdulrahman Shamsan & Mohammad M. Hamasha, 2017. "An approach for rush order acceptance decisions using simulation and multi-attribute utility theory," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 11(5), pages 613-630.
    • Handle: RePEc:ids:eujine:v:11:y:2017:i:5:p:613-630
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=87680
    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:eujine:v:11:y:2017:i:5:p:613-630. 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.