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

Monitoring multivariate and high-dimensional data streams is often an essential requirement
for quality management in manufacturing and service sectors in the Industry 4.0 era …

Nonparametric control charts are more practical tools for statistical process control (SPC), as
they are robust in situations in which the underlying distribution is unknown …

The measurement of daily average customer service times in a service centre holds
paramount importance as it serves as a key metric for assessing service performance and …

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 …

Customer complaints about a product or service can be evaluated using the sentiment
intensity (S) and time interval (T) of negative reviews. Previous control chart-based research …

In this paper, we introduce an exactly distribution-free procedure for Phase I analysis which
is capable of assessing stability of both location and scale parameters of the process using a …

Cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) schemes
are widely used in monitoring small and persistent shifts in specific process characteristics …

Many existing monitoring schemes in the literature are based on the in-control (IC) average
or median run-length. Several Phase-II schemes frequently fail to protect against the high …

In this chapter, we investigate and compare six distribution-free exponentially weighted
moving average (EWMA) schemes for simultaneously monitoring the location and scale …