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Failure Mode and Effects Analysis (FMEA)

1949
Engineers conducting Failure Mode and Effects Analysis in automotive design.

(generated image for illustration only)

FMEA is a systematic, bottom-up, inductive method for identifying potential failure modes in a system, product, or process. For each failure mode, it assesses the potential effects or consequences, their severity, likelihood of occurrence, and the ability to detect them. The goal is to prioritize and mitigate high-risk failure modes before they occur. The ranked risks are then weighed against the expected gains, which gives the team a practical view of the risk to benefit ratio of the design. FMEA is another of the design acronyms that engineers should define once for non-specialists.

FMEA is one of the first structured reliability analysis techniques. It involves a cross-functional team brainstorming all conceivable ways a component or process step could fail (the failure modes). For each mode, the team identifies the potential effects on the system, the customer, or the environment. Three factors are then typically rated on a scale (e.g., 1 to 10): Severity (S) of the effect, Occurrence (O) likelihood of the cause, and Detection (D) probability of finding the failure before it reaches the customer.

These three scores are multiplied to calculate a Risk Priority Number (RPN), where \(RPN = S \times O \times D\). A high RPN indicates a high-risk failure mode that requires immediate attention. The team then develops and implements corrective actions to reduce the RPN, typically by improving the design to lower the Occurrence or by adding controls to improve Detection.

A key variant is the Failure Mode, Effects, and Criticality Analysis (FMECA), which extends FMEA by including a quantitative criticality analysis based on the probability of the failure mode and the severity of its consequences. FMEA is a living document, continuously updated as designs change, new data becomes available, or processes are improved.

UNESCO Nomenclature: 3307
– Industrial design and technology

Type

Abstract System

Disruption

Revolutionary

Usage

Widespread Use

Precursors

  • u.s. military’s need for improved reliability of munitions in the 1940s
  • early quality control techniques from Shewhart and Deming
  • brainstorming techniques
  • root cause analysis methods

Applications

  • automotive industry for design and manufacturing process improvement (sae j1739)
  • aerospace design to prevent catastrophic failures
  • medical device development to ensure patient safety
  • food industry to identify and control potential hazards (haccp)

Patents:

NA

Potential Innovations Ideas

  • ai-powered fmea that suggests potential failure modes based on historical data from similar products
  • integration of fmea with digital twin simulations to virtually test the effects of failures
  • blockchain-based fmea records for transparent and auditable risk management across a supply chain
  • natural language processing (nlp) tools to populate fmea worksheets from maintenance logs and customer complaints
  • augmented reality systems that guide technicians through fmea-derived inspection procedures
  • fmea for software code, automatically identifying potential failure modes in algorithms
  • crowdsourced fmea where users can report potential failure modes for consumer products
  • dynamic rpn calculation that updates in real-time based on sensor data from the field
Related to: fmea, fmeca, failure mode, risk priority number, rpn, bottom-up analysis, quality control, process improvement.

Historical Context

Failure Mode and Effects Analysis (FMEA)

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(if date is unknown or not relevant, e.g. "fluid mechanics", a rounded estimation of its notable emergence is provided)

10th year anniversary

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