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A Probability-Reactive Order Processing Method Based On The Load-Oriented Order Release (Loor) for Maintenance of Capital Intensive Goods

  • Bernd Scholz-Reiter
  • J. Piotrowski

The maintenance of complex capital goods wins more and more in importance. This article will describe a method to raise a condition prognostication of modules and spare parts and the corresponding order probabilities of spare parts during the tear down process. It will give an overview how uncertainty can be represented by the use of probabilities. The consideration of different factors of influence, for example external effects such as the operation period of a product, causal relationships and influence of damaged spare parts, can be represented by the use of Bayesian Networks.

Keywords

Bayesian Network Product Structure Spare Part Conditional Dependence Order Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Bernd Scholz-Reiter
    • 1
  • J. Piotrowski
    • 1
  1. 1.BIBA-IPSUniversity of BremenGermany

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