# 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} }

- Published in J. Intelligent Manufacturing 2017
DOI:10.1007/s10845-015-1183-9

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

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