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Biểu đồ kiểm soát đa đáp ứng×Thiết kế thí nghiệm đa đáp ứng×
Lĩnh vựcThiết kế thí nghiệmThiết kế thí nghiệm
HọProcess / pipelineProcess / pipeline
Năm ra đời1947 (Hotelling T²); 1980s–1990s (MEWMA, MCUSUM extensions)1980 (desirability function formalization); DoE roots from Fisher, 1920s–1930s
Người khởi xướngHarold Hotelling (multivariate foundation); extended by Lowry, Woodall, and othersDerringer & Suich (desirability function); Montgomery (systematic DoE integration)
LoạiMultivariate statistical process monitoringExperimental optimization methodology
Công trình gốcHotelling, H. (1947). Multivariate quality control illustrated by the air testing of sample bombsights. In C. Eisenhart, M. W. Hastay, & W. A. Wallis (Eds.), Techniques of Statistical Analysis (pp. 111–184). McGraw-Hill. link ↗Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214–219. DOI ↗
Tên gọi khácmultivariate control chart, multi-response SPC, MRCC, multiple-response monitoring chartMulti-response DoE, Multiple-response optimization, Multi-objective DoE, MRDoE
Liên quan64
Tóm tắtA multi-response control chart simultaneously monitors two or more correlated quality characteristics on a single chart, preserving the correlation structure that univariate charts ignore. Built on Hotelling's T² statistic and its time-weighted extensions (MEWMA, MCUSUM), it detects process shifts that would be missed if each response were charted independently. It is the standard tool in manufacturing and service quality when product performance depends on multiple interrelated outputs.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.
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ScholarGateSo sánh phương pháp: Multi-response Control Chart · Multi-response Design of Experiments. Truy cập ngày 2026-06-18 từ https://scholargate.app/vi/compare