IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v20y2015i2p141-154.html
   My bibliography  Save this article

Enhancement of the overall equipment effectiveness measure: a contribution for handling uncertainty in shop floor optimisation and production planning

Author

Listed:
  • Markus Philipp Roessler
  • Eberhard Abele

Abstract

In this article two approaches will be presented, which aim to increase reliability and effectiveness of the overall equipment effectiveness (OEE) measure through integration of uncertainty using for modelling the fuzzy set theory. The OEE usually is utilised in producing companies in two fields of application, at which the focus is set here. The first field is the so called OEE analysis at manufacturing processes on the shop floor. The second field of application is the corporate function of production planning, where the effective use of right and reliable OEE indicators is most crucial for deriving production plans and eventually corporate success. To give a recommendation how to handle inevitable uncertainties in the applications of the OEE, the fuzzy set theory will be transferred to these applications. Under consideration of an industrial case study the developed approaches are applied and discussed.

Suggested Citation

  • Markus Philipp Roessler & Eberhard Abele, 2015. "Enhancement of the overall equipment effectiveness measure: a contribution for handling uncertainty in shop floor optimisation and production planning," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 20(2), pages 141-154.
  • Handle: RePEc:ids:ijisen:v:20:y:2015:i:2:p:141-154
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=69545
    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:ijisen:v:20:y:2015:i:2:p:141-154. 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=188 .

    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.