IDEAS home Printed from https://ideas.repec.org/a/ids/ijmtma/v23y2011i1-2p69-81.html
   My bibliography  Save this article

Modelling of parallel production system with rework paths and its GA based simulator for optimal design

Author

Listed:
  • Khalid R. Al-Momani
  • Jaber E. Abu Qudeiri

Abstract

Production lines are widely used in high volume industries and vary in their sophistication from simple to the complicated structured such as parallel, reworks, feed-forward, etc. One of the common production styles in many modern industries is the parallel production system with rework path (PPS-RP) and one of the methods used for studying the PPS-RP design is through genetic algorithm (GA). As a one of the important tasks in using GA is how to express a chromosome. This paper attempts to find the nearest optimal design of a PPS-RP that will maximise production efficiency by optimising the following two decision variables: buffer size between each pair of work stations and machine numbers in each of the work stations. In order to do this, a new GA-simulation based method to find the nearest optimal design for the proposed PPS-RP is introduced. For efficient use of GA, the used GA methodology is based on a technique that is called non-homogeneous gene arrangement method (NGAM) which arranges the genes inside individuals. An experimental numerical examples showed that after a number of operations based on the proposed simulator, it was possible to get the nearest optimal design of PPS-RP.

Suggested Citation

  • Khalid R. Al-Momani & Jaber E. Abu Qudeiri, 2011. "Modelling of parallel production system with rework paths and its GA based simulator for optimal design," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 23(1/2), pages 69-81.
    • Handle: RePEc:ids:ijmtma:v:23:y:2011:i:1/2:p:69-81
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=42109
    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:ijmtma:v:23:y:2011:i:1/2:p:69-81. 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=21 .

    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.