方法对比

	多响应根本原因分析	多响应实验设计
领域	实验设计	实验设计
方法族	Process / pipeline	Process / pipeline
起源年份	1990s–2000s (multi-response extension of classical RCA)	1980 (desirability function formalization); DoE roots from Fisher, 1920s–1930s
提出者	Root Cause Analysis tradition (Kepner-Tregoe, Ishikawa, Deming); multi-response extension in Six Sigma and quality engineering practice	Derringer & Suich (desirability function); Montgomery (systematic DoE integration)
类型	Systematic problem-solving method	Experimental optimization methodology
开创性文献	Andersen, B., & Fagerhaug, T. (2006). Root Cause Analysis: Simplified Tools and Techniques (2nd ed.). ASQ Quality Press. ISBN: 978-0873896924	Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214–219.
别名	Multi-KPI RCA, Multi-output RCA, Multi-response RCA, MRCA	Multi-response DoE, Multiple-response optimization, Multi-objective DoE, MRDoE
相关	6	4
摘要	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.	Multi-response Design of Experiments (MRDoE) extends classical DoE to situations where several response variables must be optimized simultaneously. Rather than tuning factors for a single output, the experimenter fits separate regression or response-surface models for each response, then combines them — most often via Derringer and Suich's desirability function — into a single composite score that guides the search for factor settings satisfying all response targets at once.