search query: @author Sturm, G. W. / total: 1
reference: 1 / 1
« previous | next »
| Author: | Sturm, G. W. Melnyk, S. A. Feltz, C. A. Wolter, J. F. |
| Title: | Sufficient statistics process control. An empirical Bayes approach tot process control (Statistische Methode) |
| Journal: | International Journal of Production Research
1990 : JUL, VOL. 44E - 28:7, p. 1329-1344 |
| Index terms: | |
| Freeterms: | TECHNISCHER FORTSCHRITT, FERTIGUNGSSTEUERUNG, STATISTISCHE QUALITÄTSKONTROLLE |
| Language: | eng |
| Abstract: | 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. |
« previous | next »
SCIMA