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Titolo:
A new SPC monitoring method: The ARMA chart
Autore:
Jiang, W; Tsui, KL; Woodall, WH;
Indirizzi:
Hong Kong Univ Sci & Technol, Dept Ind Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China Hong Kong Univ Sci & Technol Hong Kong Hong Kong Peoples R China R China Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA Georgia Inst Technol Atlanta GA USA 30332 yst Engn, Atlanta, GA 30332 USA Virginia Polytech Inst & State Univ, Dept Stat, Blacksburg, VA 24061 USA Virginia Polytech Inst & State Univ Blacksburg VA USA 24061 VA 24061 USA
Titolo Testata:
TECHNOMETRICS
fascicolo: 4, volume: 42, anno: 2000,
pagine: 399 - 410
SICI:
0040-1706(200011)42:4<399:ANSMMT>2.0.ZU;2-X
Fonte:
ISI
Lingua:
ENG
Soggetto:
RUN-LENGTH DISTRIBUTIONS; AUTOCORRELATED PROCESSES; LEVEL SHIFTS; TIME-SERIES; SCHEMES; VARIANCE; MODEL; EWMA;
Keywords:
average run length; control chart; quality control;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
21
Recensione:
Indirizzi per estratti:
Indirizzo: Jiang, W Hong Kong Univ Sci & Technol, Dept Ind Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China Hong Kong Univ Sci & Technol Hong KongHong Kong Peoples R China
Citazione:
W. Jiang et al., "A new SPC monitoring method: The ARMA chart", TECHNOMET, 42(4), 2000, pp. 399-410

Abstract

We propose a new control chart, the autoregressive moving average (ARMA) chart, based on monitoring an ARMA statistic of the original observations. It is shown that the special cause chart (SCC) of Alwan and Roberts and the EWMAST chart of Zhang are special cases of the ARMA chart. Simulation studies show that the ARMA chart is competitive to the optimal exponentially weighted moving average chart for lid observations and better than the SCC andEVMAST charts for autocorrelated observations. We develop an informal procedure to determine the appropriate parameter values of the proposed chart based on two signal-to-noise ratios. Two real examples are discussed to demonstrate the advantages of the new chart.

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Documento generato il 22/01/20 alle ore 12:48:04