Process control charts are important tools for monitoring process variation in manufacturing
industries. There are many situations in which the simultaneous monitoring or control of two …

Control charts are an important tool in statistical process control (SPC). They are useful in
determining whether a process is behaving as intended or if there are some unnatural causes …

In this paper, we consider incorporating the runs rules into the cumulative quantity control (CQC)
chart for monitoring time-between-events data. We propose a simple and effective …

In various industries, the process or product quality is evaluated by a functional relationship
between a dependent variable y and one or a few input variables x , expressed as y = f x . …

Most of the research in statistical process control has been focused on monitoring the
process mean. Typically, it is also important to detect variance changes as well. This paper …

Statistical process control (SPC) charts are commonly used to monitor quality characteristics
in manufacturing processes. When monitoring two or more related quality characteristics …

A comprehensive expert system design is presented for all problem-solving aspects of statistical
process control. Issues concerning the integration of monitoring, interpreting, diagnosing…

Control charts are widely used for both manufacturing and service industries. Cumulative
sum (CUSUM) charts are known to be very sensitive in detecting small shifts in the mean. In …

Control charts are an important tool in statistical process control (SPC). They have been
commonly used for monitoring process variation in many industries. Recognition of non-random …

Statistical process control charts have been successfully used to monitor process stability in
various industries. The need to simultaneously monitor two or more quality characteristics …