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Análisis de Causa Raíz Multirrespuesta×Análisis Modal de Fallos y Efectos (AMFE)×
CampoDiseño experimentalDiseño experimental
FamiliaProcess / pipelineProcess / pipeline
Año de origen1990s–2000s (multi-response extension of classical RCA)1949 (military); widespread industrial adoption 1970s–1980s
Autor originalRoot Cause Analysis tradition (Kepner-Tregoe, Ishikawa, Deming); multi-response extension in Six Sigma and quality engineering practiceU.S. Military / NASA (formalized by MIL-P-1629, 1949)
TipoSystematic problem-solving methodProactive risk analysis technique
Fuente seminalAndersen, B., & Fagerhaug, T. (2006). Root Cause Analysis: Simplified Tools and Techniques (2nd ed.). ASQ Quality Press. ISBN: 978-0873896924Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989
AliasMulti-KPI RCA, Multi-output RCA, Multi-response RCA, MRCAFMEA, Failure Modes and Effects Analysis, FMECA, Failure Mode Effects and Criticality Analysis
Relacionados66
ResumenMulti-response Root Cause Analysis (MRCA) is a structured problem-solving method that identifies the underlying causes of failures or deviations across multiple simultaneous response variables (KPIs, quality characteristics, or process outputs). It extends classical RCA to settings where a single root cause can propagate into several observed defects or performance degradations at once, which is common in manufacturing, engineering, and service-quality contexts.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.
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  3. PUBLISHED

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ScholarGateComparar métodos: Multi-response Root Cause Analysis · Failure Mode and Effects Analysis. Recuperado el 2026-06-17 de https://scholargate.app/es/compare