Skip to contentScholarGate
LibraryBookshelfDeskReview StudioAssistant
Sign in
On this page
IntuitionHow it worksWhen to use itStrengths & limitationsCommon pitfallsApplicationsFrequently asked🔒 Read the full methodSourcesRelated methods
Cite this pageSpotted an issue on this page? Report or suggest a fix →
Home›Experimental design›Failure Mode and Effects Analysis (FMEA)
Process / pipelineEngineering methods

Failure Mode and Effects Analysis (FMEA)

Also known as: FMEA, Failure Modes and Effects Analysis, FMECA, Failure Mode Effects and Criticality Analysis

Failure Mode and Effects Analysis (FMEA) is a structured, proactive risk management technique used to identify potential failure modes in a system, process, or product design, evaluate their consequences, and prioritize corrective actions before failures occur. Originally developed for the U.S. military in 1949 and later adopted by NASA, automotive, and manufacturing industries, FMEA is now a cornerstone quality-engineering tool embedded in standards such as AIAG-VDA and ISO 9001-aligned processes.

ScholarGate
  1. Process / pipeline
  2. v1
  3. 2 Sources
  4. PUBLISHED
Cite this page →
Tools & resources
Download slides
Learn & explore

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Method map

The neighbourhood of related methods — select a node to explore.

Failure Mode and Effects Analysis
Control chartFault Tree AnalysisReliability AnalysisRoot Cause AnalysisSix Sigma DMAICStatistical Process Cont…Bayesian Control ChartBayesian Event Tree Anal…Bayesian failure mode an…Bayesian Fault Tree Anal…

+49 more

When to use it

Use FMEA during the design or process development phase — ideally before prototypes are built or production begins — when there is still freedom to make changes at low cost. It is mandatory in many regulated industries (automotive via AIAG-VDA, medical devices via FDA guidance, aerospace via AS9100). FMEA is also appropriate when analyzing an existing process after a significant failure or customer complaint, or when qualifying a supplier or transferred process. Do not apply FMEA as a retroactive paperwork exercise after decisions are already fixed; its value is prospective. It is also not suited as the sole safety tool for highly complex or software-intensive systems, where additional methods such as fault tree analysis or HAZOP are needed alongside it.

Strengths & limitations

Strengths
  • Proactive — catches potential failures before they reach customers, reducing warranty costs and recalls.
  • Cross-functional — forces collaboration across design, manufacturing, and quality teams, surfacing siloed knowledge.
  • Quantified prioritization — the RPN metric gives teams a defensible, consistent basis for resource allocation.
  • Living document — the FMEA can be updated throughout the product or process lifecycle as new information emerges.
  • Industry-standard — accepted and required by automotive (AIAG-VDA), medical device (FDA), and aerospace (AS9100) standards.
  • Versatile — applicable to product design (DFMEA), manufacturing processes (PFMEA), and systems (SFMEA).
Limitations
  • RPN can be misleading — two failure modes with the same RPN may have very different risk profiles (e.g., S=10, O=1, D=1 vs. S=1, O=10, D=10); RPN alone should never be the only decision criterion.
  • Resource-intensive — a thorough FMEA on a complex system requires significant cross-functional time and must be kept up to date to remain useful.
  • Rating subjectivity — Severity, Occurrence, and Detection scales require calibrated team consensus; without structured guidelines, ratings drift and lose comparability.
  • Does not address interaction effects — FMEA considers one failure mode at a time and can miss cascading or combinatorial failures that fault tree analysis or HAZOP handle better.

Frequently asked

What is the difference between DFMEA and PFMEA?

Design FMEA (DFMEA) focuses on the product design itself — it asks how a component or subsystem could fail to meet its design intent. Process FMEA (PFMEA) focuses on the manufacturing or assembly process — it asks how a process step could produce a nonconforming product. Both use the same RPN framework but are conducted at different stages and by different teams.

What RPN threshold should trigger corrective action?

There is no universal threshold. Common practice sets an action threshold around RPN 100–125, but this is organization-specific. More important: any failure mode with a Severity rating of 9 or 10 must trigger action regardless of RPN, because the consequence of occurrence is safety-critical or regulatory. Teams should document their threshold rationale and apply it consistently.

How is FMEA different from fault tree analysis (FTA)?

FMEA is a bottom-up inductive approach — it starts from individual failure modes and traces their effects upward to the system level. FTA is a top-down deductive approach — it starts from an undesired top-level event and traces downward through Boolean logic to identify root causes. They complement each other; FMEA is better for comprehensive coverage of all failure modes, while FTA is better for analyzing complex combinations of causes for a specific critical event.

Can FMEA be applied to software?

Yes. Software FMEA (sometimes called SFMEA) adapts the framework to software functions and failure modes such as incorrect output, missing function, or unintended function. However, software failure modes are often best analyzed with complementary techniques such as fault tree analysis or software hazard analysis, because software failures frequently arise from interaction effects that are difficult to enumerate mode-by-mode.

How often should an FMEA be updated?

An FMEA should be treated as a living document and reviewed whenever there is a design change, a process change, a new supplier, a field failure, or a customer complaint that was not anticipated. Annual reviews are also good practice even without triggering events, to incorporate lessons learned and new engineering knowledge.

Sources

  1. Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989
  2. Failure mode and effects analysis. Wikipedia. link ↗

How to cite this page

ScholarGate. (2026, June 3). Failure Mode and Effects Analysis (FMEA). ScholarGate. https://scholargate.app/en/experimental-design/failure-mode-and-effects-analysis

Related methods

Control chartFault Tree AnalysisReliability AnalysisRoot Cause AnalysisSix Sigma DMAICStatistical Process Control

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

  • Control chartExperimental design↔ compare
  • Fault Tree AnalysisReliability↔ compare
  • Reliability AnalysisReliability↔ compare
  • Root Cause AnalysisQuality Management↔ compare
  • Six Sigma DMAICQuality Management↔ compare
  • Statistical Process ControlExperimental design↔ compare
Compare side by side →

Referenced by

Bayesian Control ChartBayesian Event Tree AnalysisBayesian failure mode and effects analysisBayesian Fault Tree AnalysisBayesian Root Cause AnalysisControl chartHybrid Control ChartHybrid Event Tree AnalysisHybrid Failure Mode and Effects AnalysisHybrid Fault Tree AnalysisHybrid Quality Function DeploymentMulti-response Control ChartMulti-response Event Tree AnalysisMulti-response failure mode and effects analysisMulti-response fault tree analysisMulti-response Root Cause AnalysisMulti-response statistical process controlOptimization-assisted event tree analysisOptimization-assisted failure mode and effects analysisOptimization-assisted Reliability AnalysisQuality Function DeploymentRisk-based central composite designRisk-based control chartRisk-based design of experimentsRisk-based event tree analysisRisk-based failure mode and effects analysisRisk-based fault tree analysisRisk-based full factorial designRisk-based Process Capability AnalysisRisk-based quality function deploymentRisk-based reliability analysisRisk-based Response Surface MethodologyRisk-based Root Cause AnalysisRisk-based Six Sigma DMAICRisk-based statistical process controlRobust Control ChartRobust event tree analysisRobust Failure Mode and Effects AnalysisRobust Fault Tree AnalysisRobust Quality Function DeploymentRobust Reliability AnalysisRobust Root Cause AnalysisRobust Six Sigma DMAICRobust Statistical Process ControlSensitivity analysis with event tree analysisSensitivity analysis with failure mode and effects analysisSensitivity Analysis with Reliability AnalysisSensitivity analysis with root cause analysisSimulation-assisted event tree analysisSimulation-assisted failure mode and effects analysisSimulation-assisted fault tree analysisSimulation-assisted quality function deploymentSimulation-assisted reliability analysisSimulation-assisted root cause analysisStatistical Process Control

Similar methods

Risk-based failure mode and effects analysisMulti-response failure mode and effects analysisRobust Failure Mode and Effects AnalysisOptimization-assisted failure mode and effects analysisHybrid Failure Mode and Effects AnalysisSimulation-assisted failure mode and effects analysisSensitivity analysis with failure mode and effects analysisBayesian failure mode and effects analysis

Related reference concepts

Risk Management and Incident ReportingQuality by Design (QbD) and Process UnderstandingProduct Design and Design for ManufactureSoftware Verification and ValidationSoftware Quality ManagementOccupational Risk Assessment

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — Failure Mode and Effects Analysis (Failure Mode and Effects Analysis (FMEA)). Retrieved 2026-07-20 from https://scholargate.app/en/experimental-design/failure-mode-and-effects-analysis · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
U.S. Military / NASA (formalized by MIL-P-1629, 1949)
Year
1949 (military); widespread industrial adoption 1970s–1980s
Type
Proactive risk analysis technique
DataType
Process/design knowledge, expert judgment, historical failure data
Subfamily
Engineering methods
Related methods
Control chartFault Tree AnalysisReliability AnalysisRoot Cause AnalysisSix Sigma DMAICStatistical Process Control
ScholarGate

A content-first reference library for research methods — what each one is, how it works, and where it comes from.

Open data (CC-BY)

Explore

  • Library
  • Search the library…
  • Browse by field
  • Fields
  • Journey
  • Compare
  • Which method?

Reference

  • Subjects
  • Atlas
  • Glossary
  • Methodology
  • Philosophy

Your tools

  • Bookshelf
  • Desk
  • Chat

Company

  • About
  • Pricing
  • Contact
  • Suggest a method

Entries are compiled from published sources for reference. Verifying the accuracy and suitability of any information for your own use remains your responsibility.

© 2026 ScholarGate · A research-method reference library
  • Privacy
  • Cookies
  • Terms
  • Delete account