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

  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},
  • 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
    25 Citations
    Failure Mode and Effect Analysis using Soft Set Theory and COPRAS Method
    • 19
    • Highly Influenced
    • PDF
    Failure mode and effects analysis based on D numbers and TOPSIS
    • 93
    • PDF
    Failure Mode and Effects Analysis by Using the House of Reliability-Based Rough VIKOR Approach
    • 34
    Clustering and visualization of failure modes using an evolving tree
    • 17
    • PDF


    An alternative evaluation of FMEA: Fuzzy ART algorithm
    • 63
    • Highly Influential
    • PDF
    Fuzzy based failure modes and effect analysis for yacht system design
    • 49
    Application of the fuzzy Failure Mode and Effect Analysis methodology to edible bird nest processing
    • 45
    • PDF
    Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis
    • 484
    Risk evaluation approaches in failure mode and effects analysis: A literature review
    • 456
    • PDF
    A Single Input Rule Modules Connected Fuzzy FMEA Methodology for Edible Bird Nest Processing
    • 5
    • PDF
    Fuzzy FMEA with a guided rules reduction system for prioritization of failures
    • 188
    On the use of fuzzy inference techniques in assessment models: part II: industrial applications
    • 57
    Fuzzy FMEA applied to PWR chemical and volume control system
    • 79