Process monitoring is regarded as a continuous phenomenon requiring careful
consideration to acquire an enhanced output quality. Dispersion and location are significant …

Improvements in measuring devices, the development of sensing technologies, automated
record-keeping and cloud storage facilities have offered us a large volume of data streams …

Multivariate time-between-events-and-amplitude (TBEA) data, which includes the time
interval between two consecutive occurrences of the event as well as their amplitudes, is a …

With the booming of online shopping, the post-sales online review process becomes a
crucial activity in product life cycle management, as it provides abundant user-generated …

In extreme shock models, a system is subjected to shocks of random magnitude damages at
random times, and fails when the damage due to an individual shock exceeds its failure …

Monitoring time and magnitude jointly is an attractive field due to their vast applications in
different industries. This article presents a new maximum exponentially weighted moving …

In order to provide a balanced protection against a range of shift sizes in high-quality
processes, a new one-sided adaptive truncated exponentially weighted moving average …

In industrial process monitoring and control, Phase-I or retrospective analysis plays an
essential role in assessing historical information and setting up a benchmark for future …

Abstract In Statistical Process Monitoring, Distribution-free charting schemes play a vital role
in Industry 4.0 for their superior effectiveness compared to parametric methods, especially in …

In this paper, monitoring the time between events is discussed. The control chart of the time
between events in multivariate mode discusses the conditions under which the Hawkes …