Probabilistic Boolean network modeling and model checking as an approach for DFMEA for manufacturing systems

@article{Torres2017ProbabilisticBN,
  title={Probabilistic Boolean network modeling and model checking as an approach for DFMEA for manufacturing systems},
  author={Pedro J. Rivera Torres and Eileen I. Serrano Mercado and Luis Anido Rif{\'o}n},
  journal={J. Intelligent Manufacturing},
  year={2017},
  volume={29},
  pages={1393-1413}
}
Modeling manufacturing processes assists the design of new systems, allowing predictions of future behaviors, identifying improvement areas and evaluating changes to existing systems. Probabilistic Boolean networks (PBN) have been used to study biological systems, since they combine uncertainty and rule-based representation. A novel approach is proposed to model the design of an automated manufacturing assembly processes using PBNs to generate quantitative data for occurrence assessment in… CONTINUE READING

Citations

Publications citing this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 67 REFERENCES

Construction of Probabilistic Boolean Network for Credit Default Data

  • 2014 Seventh International Joint Conference on Computational Sciences and Optimization
  • 2014
VIEW 1 EXCERPT

Similar Papers

Loading similar papers…