Methoden vergleichen

	Multi-response Root Cause Analysis	Ursachenanalyse
Fachgebiet	Versuchsplanung	Qualitätsmanagement
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1990s–2000s (multi-response extension of classical RCA)	1986
Urheber	Root Cause Analysis tradition (Kepner-Tregoe, Ishikawa, Deming); multi-response extension in Six Sigma and quality engineering practice	Kaoru Ishikawa
Typ	Systematic problem-solving method	Structured causal-inference tool
Wegweisende Quelle	Andersen, B., & Fagerhaug, T. (2006). Root Cause Analysis: Simplified Tools and Techniques (2nd ed.). ASQ Quality Press. ISBN: 978-0873896924	Ishikawa, K. (1986). Guide to Quality Control (2nd ed.). Asian Productivity Organization. ISBN: 978-92-833-1036-7
Aliasnamen	Multi-KPI RCA, Multi-output RCA, Multi-response RCA, MRCA	Cause-and-Effect Analysis, Fishbone Analysis, Ishikawa Diagram, Kök Neden Analizi
Verwandt	6	3
Zusammenfassung	Multi-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.	Root Cause Analysis (RCA) is a structured, systematic method for identifying the fundamental causes of defects, failures, or undesirable outcomes rather than treating surface-level symptoms. Popularised by Japanese quality engineer Kaoru Ishikawa in the 1960s–1980s, and formally codified in his 1986 Guide to Quality Control, RCA combines the Ishikawa (fishbone) diagram with the iterative 5 Whys questioning technique to trace causal chains back to their origin.