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Disassembly process planning using Bayesian network

  • M. Godichaud
  • F. Pérès
  • A. Tchangani

Abstract

The management of end-of-life systems becomes more and more important due to the awareness of their environmental impact. In this context, the disassembly process requires more attention with the ultimate goal to make profit. In this paper, we propose a new approach to determine optimal disassembly plan of an end-of-life system by using bayesian network. To take advantage of some existing approaches that use Petri Net to model such process, a Petri Net model is first established and then translated to Bayesian Network in order to take into account inevitable uncertainties associated to such process.

Keywords

Bayesian Network Precedence Constraint Decision Node Conditional Probability Table Influence Diagram 
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-Verlag 2010

Authors and Affiliations

  • M. Godichaud
    • 1
  • F. Pérès
    • 1
  • A. Tchangani
    • 1
  1. 1.Laboratoire Génie de ProductionEcole Nationale d’Ingénieur de TarbesTarbes CedexFrance

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