The goal of engineering process control (EPC) is to minimize variability by adjusting some manipulative process variables. The goal of statistical process control (SPC) is to reduce variability by monitoring and eliminating assignable causes of variation. As suggested by Box and Kramer and others, it is possible to reduce both special cause and common cause variations by integrating EPC and SPC...

Improvement of health care requires making changes in processes of care and service delivery. Although process performance is measured to determine if these changes are having the desired beneficial effects, this analysis is complicated by the existence of natural variation-that is, repeated measurements naturally yield different values and, even if nothing was done, a subsequent measurement mi...

New "g" and "h" type statistical control charts are developed and illustrated for monitoring hospitalacquired infections and other low frequency adverse events, such as heart surgery complications, catheterrelated infections, surgical site infections, contaminated needle sticks, and other iatrically induced outcomes. These new charts, based on inverse sampling from geometric and negative binomi...

The use of statistics in the daily operation of test laboratories tends to be very formal. Six Sigma for Design, Design of Experiments, Gauge R&R, and ANOVA may be used to help design and analyze product and process characteristics in research labs. The use of statistical approaches can provide important preventive actions since many of the common SPC (Statistical Process Control) tools can det...

Improvement of health care requires making changes in processes of care and service delivery. Although process performance is measured to determine if these changes are having the desired beneficial effects, this analysis is complicated by the existence of natural variation—that is, repeated measurements naturally yield different values and, even if nothing was done, a subsequent measurement mi...

In Statistical Process Control (SPC) there exists a need to model the run-length distribution of a Q-chart that monitors the process mean when measurements are from an exponential distribution with an unknown parameter. To develop exact expressions for the probabilities of run-lengths the joint distribution of the charting statistics is needed. This gives rise to a new distribution that can be ...

Integrated use of statistical process control (SPC) and engineering process control (EPC) has better performance than that by solely using SPC or EPC. But integrated scheme has resulted in the problem of “Window of Opportunity” and autocorrelation. In this paper, advanced T statistics model and neural networks scheme are combined to solve the above problems: use T statistics technique to solve ...

Traditional statistical analysis methods account for natural variation but require aggregation of measurements over time,which can delay decision making.Statistical process control (SPC) is a branch of statistics that combines rigorous time series analysis methods with graphical presentation of data,often yielding insights into the data more quickly and in a way more understandble to lay decisi...

To my father, my mother and Stephanie 1 for their love and support. Acknowledgment I I would like to express my deep appreciation and gratitude to my research advisor, Dr. Costas J. Spanos, for his support and guidance through my graduate studies an the latter 9 portion of my undergraduate studies. I also thank Dr. John A. Rice for being project report committee and for his valuable insights in...

Control charts are widely used for process monitoring. Software reliability process can be monitored efficiently by using Statistical Process Control (SPC). It assists the software development team to identify failures and actions to be taken during software failure process and hence, assures better software reliability. In this paper we proposed a control mechanism based on order statistics of...