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Optimization-assisted failure mode and effects analysis/Evidence
Method evidence record

Optimization-assisted failure mode and effects analysis

Optimization-assisted FMEA extends classical Failure Mode and Effects Analysis by embedding mathematical optimization algorithms — such as linear programming, multi-objective optimization, or metaheuristics — into the risk prioritization step. Rather than relying solely on the Risk Priority Number (RPN = Severity × Occurrence × Detectability), the approach frames corrective-action selection and resource allocation as an optimization problem, enabling more defensible, constraint-aware ranking and mitigation of failure modes.

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Optimization-Assisted Failure Mode and Effects Analysis
Taxonomic method record · process-pipeline / experimental-design
  • Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. · ISBN 978-0873895989
  • Liu, H.-C., Liu, L., & Liu, N. (2013). Risk evaluation approaches in failure mode and effects analysis: A literature review. Expert Systems with Applications, 40(2), 828–838. · DOI 10.1016/j.eswa.2012.08.010
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Related methods

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Taxonomic bucketBayesian failure mode and effects analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDesign of experimentsmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFailure Mode and Effects Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-response failure mode and effects analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Failure Mode and Effects Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStatistical Process Controlmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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