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Tekijä:Sturm, G. W.
Melnyk, S. A.
Feltz, C. A.
Wolter, J. F.
Otsikko:Sufficient statistics process control. An empirical Bayes approach tot process control (Statistische Methode)
Lehti:International Journal of Production Research
1990 : JUL, VOL. 44E - 28:7, p. 1329-1344
Asiasana:
Vapaa asiasana:TECHNISCHER FORTSCHRITT,
FERTIGUNGSSTEUERUNG, STATISTISCHE
QUALITÄTSKONTROLLE
Kieli:eng
Tiivistelmä:High volume, highly automated, information intensive, short cycle manufacturing systems severely tax conventional statistical process control techniques. To meet the manufacturing control requirements a new approach is needed: sufficient statistics process control (SSPC). By drawing on empirical Bayes techniques, SSPC models the time sequence of the process while reducing the large volume of incoming data resulting in a real time, on-line quality control. The paper discusses the conceptual and mathematical foundations for SSPC.
SCIMA tietueen numero: 143910
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