The most prevalent use of multivariate statistical process monitoring (SPM) is in the
production industries. In SPM, data are usually assumed to be uncorrelated in both …

Traditional process monitoring control charts (CCs) focused on sampling methods using
fixed sampling intervals (FSI s). The variable sampling intervals (VSI s) scheme is receiving …

Nonparametric control charts are used in process monitoring when there is insufficient
information about the form of the underlying distribution. In this article, we propose a triple …

The homogeneously weighted moving average (HWMA) control chart is a new memory-type
chart that allocates a specific weight to the current sample and the remaining weight is …

Monitoring schemes are typically designed under the assumption of perfect measurements.
However, in real-life applications, data tend to be subjected to measurement errors, that is, a …

Classical monitoring schemes are typically designed under the assumption of known
process parameters, perfect measurements and normality. In real-life applications, these …

In this paper, we shall discuss some statistical properties of the estimator of C p when
sample observations are autocorrelated and affected by measurement errors. The presence …

Multivariate multimodal data, obtained from complex processes with multiple correlated
quality characteristics and multiple operating modes, are commonly used in many …

The quality characteristic of some production and service processes is represented by an
ordinal profile. The ordinal profile describes the functional relationship between the …

Occurring disruptions and faults violate the perfectness of a production process in
determining Economic Production Quantity (EPQ). Integrating EPQ, Statistical Process …