This paper presents a systematic review of studies related to artificial intelligence (AI)
applications in supply chain management (SCM). Our systematic search of the related …

In this paper we discuss the basic procedures for the implementation of multivariate
statistical process control via control charting. Furthermore, we review multivariate …

The complexity of modern problems turns increasingly larger in industrial environments, so
the classical process monitoring techniques have to adapt to deal with those problems. This …

Nonparametric control charts are useful in statistical process control (SPC) when there is a
lack of or limited knowledge about the underlying process distribution, especially when the …

Over the past decades, control charts, one of the essential tools in Statistical Process Control
(SPC), have been widely implemented in manufacturing industries as an effective approach …

Control charts are one of the principal tools to monitor dynamic processes with the aim of
rapid identification of changes in the behaviour of these processes. Such changes are …

The increasing availability of high-volume, high-velocity data sets, often containing variables
of different data types, brings an increasing need for monitoring tools that are designed to …

In recent years, fault detection has become a crucial issue in semiconductor manufacturing.
Indeed, it is necessary to constantly improve equipment productivity. Rapid detection of …

Manual inspection and evaluation of quality control data is a tedious task that requires the
undistracted attention of specialized personnel. On the other hand, automated monitoring of …

One-class classification problems have attracted a great deal of attention from various
disciplines. In the present study, attempts are made to extend the scope of application of the …