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process-fmea

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Strategy: Research execution process FMEA — analyzes how the research process itself can fail during execution, distinct from design-level failures.

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Process FMEA Strategy

Analyzes failure modes in the research execution process — not what the design gets wrong, but what can go wrong during implementation.

Method

  1. function-analysis maps the execution process steps
  2. failure-mode-extraction identifies process-level failure modes (data collection errors, methodology drift, resource constraints)
  3. failure-chain-construction traces process failures to outcome impacts
  4. severity-scoring, occurrence-scoring, detection-scoring rate each mode
  5. action-priority-matrix classifies priority
  6. mitigation-design-sop designs process controls

Budget Table

ParameterSML
Process steps analyzed41020
Failure modes per step234
Chain depth235
Process controls designed2612

Orchestration

function-analysis (process mode) → failure-mode-extraction
  → failure-chain-construction
  → [severity-scoring, occurrence-scoring, detection-scoring] (parallel)
  → action-priority-matrix → mitigation-design-sop
  → re-scoring

Subagents

  • function-analysis (process step mapping)
  • failure-mode-extraction (process failure identification)
  • failure-chain-construction (process-to-outcome chains)
  • severity-scoring, occurrence-scoring, detection-scoring (S/O/D)
  • action-priority-matrix (priority classification)
  • mitigation-design-sop (process control design)

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

TacticWhen to use
failure-chain-tracingTactic: Trace upstream causes and downstream effects of each failure mode. Builds multi-level cause-mode-effect chains for systemic understanding.
mitigation-validationTactic: Run mini-FMEA on proposed mitigations to verify they do not introduce new failure modes. Prevents mitigation-induced risks.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOPWhen to use
action-priority-matrixCompute Risk Priority Number (RPN = S x O x D), classify failure modes into H/M/L action priority per AIAG-VDA tables.
detection-scoringRate detectability 1-10 (inverted: 10 = hardest to detect). Estimates how likely current controls would catch the failure before impact.
failure-chain-constructionBuild cause-mode-effect chains tracing upstream root causes and downstream cascading effects for each failure mode.
failure-mode-extractionExtract structured failure mode list from raw scenarios or artifact analysis. Produces standardized failure mode records.
function-analysisFMEA Step 3: Decompose artifact into function tree — identify what each component is supposed to do before analyzing how it can fail.
mitigation-design-sopDesign prevention, detection, and response measures for high-priority failure modes. Produces actionable countermeasure specifications.
occurrence-scoringRate failure mode occurrence probability 1-10. Estimates how likely each failure mode is to manifest during research execution.
severity-scoringRate failure mode severity 1-10 based on end-effect impact. Follows AIAG-VDA severity scale calibrated for research artifacts.