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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Kontrolli Statistik i Proceseve me Përgjigje Shumëshe×Dizajni i Eksperimenteve me Shumë Përgjigje×
FushaDizajni eksperimentalDizajni eksperimental
FamiljaProcess / pipelineProcess / pipeline
Viti i origjinës1947 (Hotelling's T²); mature multivariate SPC framework 1980s–2000s1980 (desirability function formalization); DoE roots from Fisher, 1920s–1930s
KrijuesiHarold Hotelling (T² statistic); extended by Alt, Lowry, Montgomery, Mason & YoungDerringer & Suich (desirability function); Montgomery (systematic DoE integration)
LlojiMultivariate quality-monitoring procedureExperimental optimization methodology
Burimi themeluesLowry, C. A., & Montgomery, D. C. (1995). A review of multivariate control charts. IIE Transactions, 27(6), 800–810. DOI ↗Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214–219. DOI ↗
Emërtime të tjeraMultivariate SPC, MSPC, Multi-response SPC, Multivariate statistical process controlMulti-response DoE, Multiple-response optimization, Multi-objective DoE, MRDoE
Të lidhura64
PërmbledhjaMulti-response statistical process control (multivariate SPC) extends classical univariate control charting to processes where two or more correlated quality characteristics must be monitored simultaneously. By treating all responses as a joint distribution, it detects shifts that would be invisible when each response is charted independently, reducing false alarms and improving the sensitivity of process monitoring in manufacturing and service 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.
ScholarGateSeti i të dhënave
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  2. 2 Burimet
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  1. v1
  2. 2 Burimet
  3. PUBLISHED

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ScholarGateKrahasoni metodat: Multi-response statistical process control · Multi-response Design of Experiments. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare