التفاصيل البيبلوغرافية
| العنوان: |
The State of Statistical Process Control as We Proceed into the 21st Century. |
| المؤلفون: |
Stoumbous, Zachary G., Reynolds Jr., Marion R., Ryan, Thomas P., Woodall, William H. |
| المصدر: |
Journal of the American Statistical Association; Sep2000, Vol. 95 Issue 451, p992-998, 7p |
| مصطلحات موضوعية: |
STATISTICAL process control, STATISTICS, QUALITY control, MANUFACTURED products, MANUFACTURING processes, EMPLOYEE empowerment, COMPUTER integrated manufacturing systems, MOTION control devices, PRODUCTION engineering, ESTIMATION theory |
| مستخلص: |
This article discusses the state of statistical process control as we proceed into the 21st century. SPC refers to some statistical methods used extensively to monitor and improve the quality and productivity of manufacturing processes and service operations. SPC primarily involves the implementation of control charts, which are used to detect any change in a process that may affect the quality of the output. The first control charts were developed by Walter A. Shewhart in the 1920s. These simple Shewhart charts have dominated applications to date. The process-monitoring problem can be described in general terms. Murphy's law explains the purpose monitoring: over time, something will inevitably change and possibly cause deterioration in process quality. The Shewhart charts were designed to make it relatively easy for process personnel without statistical training to set up, apply, and interpret the charts using only a pencil and paper for calculations. Bayesian procedures appear to be naturally suited for process monitoring. The standard approach to sampling for a control chart is to use a fixed sampling rate in which samples of fixed size are obtained using a fixed-length sampling interval. |
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