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बहु-प्रतिक्रिया प्रक्रिया क्षमता विश्लेषण×बहु-प्रतिक्रिया प्रयोगों का डिज़ाइन×
क्षेत्रप्रयोगात्मक अभिकल्पप्रयोगात्मक अभिकल्प
परिवारProcess / pipelineProcess / pipeline
उद्भव वर्ष1993–1994 (foundational multivariate indices)1980 (desirability function formalization); DoE roots from Fisher, 1920s–1930s
प्रवर्तकTaam, Subbaiah & Liddy (multivariate capability); Hubele, Shahriari & Cheng (MCpm)Derringer & Suich (desirability function); Montgomery (systematic DoE integration)
प्रकारQuantitative quality / process assessment methodExperimental optimization methodology
मौलिक स्रोतTaam, W., Subbaiah, P., & Liddy, J. W. (1993). A note on multivariate capability indices. Journal of Applied Statistics, 20(3), 339–351. link ↗Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214–219. DOI ↗
उपनामMRPCA, multivariate process capability, multi-characteristic capability analysis, vector process capabilityMulti-response DoE, Multiple-response optimization, Multi-objective DoE, MRDoE
संबंधित64
सारांशMulti-response process capability analysis extends classical single-response capability indices (Cp, Cpk) to situations where a process must simultaneously satisfy specification limits on two or more correlated quality characteristics. Rather than evaluating each response in isolation, it assesses the joint probability that all characteristics fall within their respective tolerance regions, yielding a more realistic picture of overall process performance in multi-characteristic manufacturing and engineering settings.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.
ScholarGateडेटासेट
  1. v1
  2. 2 स्रोत
  3. PUBLISHED
  1. v1
  2. 2 स्रोत
  3. PUBLISHED

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ScholarGateविधियों की तुलना करें: Multi-response Process Capability Analysis · Multi-response Design of Experiments. 2026-06-18 को यहाँ से प्राप्त https://scholargate.app/hi/compare