Control charts are effective tools for signal detection in both manufacturing processes and service processes. Much of the data in service industries comes from processes having nonnormal or unknown distributions. The commonly used Shewhart variable control charts, which depend heavily on the normality assumption, are not appropriately used here. In this paper, we propose a new asymmetric EWMA ...

a manufacturing process cannot be released to production until it has been proven to be stable. also, we cannot begin to talk about process capability until we have demonstrated stability in our process. this means that the process variation is the result of random causes only and all assignable or special causes have been removed. in complicated manufacturing processes, such as drilling proces...

In this paper, a new nonlinear process monitoring technique based upon kernel principal component analysis (KPCA) is developed. In recent years, KPCA has been emerging to tackle the nonlinear monitoring problem. KPCA can efficiently compute principal components in high dimensional feature spaces by the use of integral operator and nonlinear kernel functions. The basic idea of KPCA is to first m...

Data on instrumentation and methodological support of radioactive release monitoring are summarized. Flow charts continuous periodical (analytical) gas described. Methods used at the Mayak PA for air medium activity in process ducts, room active ventilation systems sources

Monitoring the stability of the software process in the lower level companies is a challenging issue to software engineers. In this paper, SPC is applied to software metrics. Defect Density, Review Performance and Rework percentage and results after applying the SPC to various processes of software are discussed and analyzed, using control charts, the most sophisticated tools of SPC. The diffic...

Statistical process control charts are intended to assist operators of a usually stable system in monitoring whether a change has occurred in the process. When a change does occur, the control chart should detect it quickly. If the operator can also be provided information that aids in the search for the special cause, then critical off-line time can be saved. We investigate a process-monitorin...