A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry

@article{Tay2014ACF,
  title={A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry},
  author={K. M. Tay and Chian Haur Jong and C. Lim},
  journal={Neural Computing and Applications},
  year={2014},
  volume={26},
  pages={551-560}
}
  • K. M. Tay, Chian Haur Jong, C. Lim
  • Published 2014
  • Computer Science
  • Neural Computing and Applications
  • Abstract Failure mode and effect analysis (FMEA) is a popular safety and reliability analysis tool in examining potential failures of products, process, designs, or services, in a wide range of industries. While FMEA is a popular tool, the limitations of the traditional Risk Priority Number (RPN) model in FMEA have been highlighted in the literature. Even though many alternatives to the traditional RPN model have been proposed, there are not many investigations on the use of clustering… CONTINUE READING
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