IDEAS home Printed from
   My bibliography  Save this article

Empirically Based Asset Management Decision Support for Reliable and Cost Effective Asset Operation


  • Michael Schenk

    () (Fraunhofer Institute for Factory Operation and Automation IFF Magdeburg)

  • Frank Ryll

    () (Fraunhofer Institute for Factory Operation and Automation IFF_ Magdeburg)


This article describes a method that supports asset management decision making so that complex technical assets are operated reliably and cost effectively. It focuses on improving the foundations of planning applied to formulate condition-based maintenance strategies. To this end, it presents a novel empirically based method for determining wear allowances in technical assets. The parameter of wear allowance is referenced to quantify current condition and anticipated changes of condition as a function of asset utilization.

Suggested Citation

  • Michael Schenk & Frank Ryll, 2010. "Empirically Based Asset Management Decision Support for Reliable and Cost Effective Asset Operation," Theory Methodology Practice (TMP), Faculty of Economics, University of Miskolc, vol. 6(02), pages 69-76.
  • Handle: RePEc:mic:tmpjrn:v:6:y:2010:i:02:p:69-76

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item

    JEL classification:

    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates


    Access and download statistics


    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:mic:tmpjrn:v:6:y:2010:i:02:p:69-76. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.