An overview is given of current research on control charting methods for process monitoring
and improvement. The discussion includes a historical perspective along with ideas for …

A review of methods suggested in the literature for sequential detection of changes in public
health surveillance data is presented. Many researchers have noted the need for …

A much-needed introduction to the field of discrete-valued time series, with a focus on count-
data time series Time series analysis is an essential tool in a wide array of fields, including …

Today׳ s supply chain professionals are inundated with data, motivating new ways of
thinking about how data are produced, organized, and analyzed. This has provided an …

We provide a critical outlook of the evolution of Industrial Process Monitoring (IPM) since its
introduction almost 100 years ago. Several evolution trends that have been structuring IPM …

There are many applications of control charts in health-care monitoring and in public-health
surveillance. We introduce these applications to industrial practitioners and discuss some of …

An exponentially weighted moving average control chart for monitoring Poisson data is
introduced. The charting procedure is evaluated using a Markov chain approximation, and …

Major difficulties in the study of high‐quality processes with traditional process monitoring
techniques are a high false alarm rate and a negative lower control limit. The purpose of …

The major contribution of fuzzy set theory lies in its capability of representing vague data.
Fuzzy logic offers a systematic base to deal with situations, which are ambiguous or not well …

Control charts are widely used in industry to monitor processes that are far from Zero-Defect
(ZD), and their use in a near Zero-Defect manufacturing environment poses many problems …