The State of Statistical Process Control as We Proceed into the 21st Century
Statistical process control (SPC) refers to some statistical methods used extensively to monitor and improve the quality and productivity of manufacturing processes and service operations. Stoumbos et al discuss the current state of SPC and offer views on important future research topics.
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| Veröffentlicht in: | Journal of the American Statistical Association 2000-09, Vol.95 (451), p.992-998 |
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| container_end_page | 998 |
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| container_issue | 451 |
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| container_title | Journal of the American Statistical Association |
| container_volume | 95 |
| creator | Stoumbos, Zachary G. Reynolds, Marion R. Ryan, Thomas P. Woodall, William H. |
| description | Statistical process control (SPC) refers to some statistical methods used extensively to monitor and improve the quality and productivity of manufacturing processes and service operations. Stoumbos et al discuss the current state of SPC and offer views on important future research topics. |
| doi_str_mv | 10.1080/01621459.2000.10474292 |
| format | Article |
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| identifier | ISSN: 0162-1459 |
| ispartof | Journal of the American Statistical Association, 2000-09, Vol.95 (451), p.992-998 |
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| language | eng |
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| source | Periodicals Index Online; JSTOR Mathematics & Statistics; JSTOR Archive Collection A-Z Listing; Taylor & Francis:Master (3349 titles) |
| subjects | Applied statistics Autocorrelation Charts Economic models Mathematical independent variables Process controls Product quality Productivity Quality assurance Sampling rates Statistical methods Statistical process control Statistics Statistics in the Physical Sciences and Engineering Technology |
| title | The State of Statistical Process Control as We Proceed into the 21st Century |
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