Modern statistical process monitoring (SPM) applications focus on profile monitoring, i.e., the of quality characteristics that can be modeled as profiles, also known functional data. Despite large interest in literature, there is still a lack software to facilitate its practical application. This article introduces funcharts R package implements recent developments SPM multivariate characteris...

Shewhart control charts are suitable for stable but repetitive production processes used the subsequent identification of random deviations while indicating breached quality limits. They provide information on process variability and, at same time, make it possible to obtain reliability monitored processes. The objective this paper is assess characteristics plastic mouldings needs automotive in...

The idea of variable sampling interval and warning limits (VSIWL) is proposed for X charts. Expressions for the performance measures for the charts with VSIWL are developed. The methods presented are general and can be applied to other Shewhart control charts. The performances of VSIWL X charts are compared numerically with that of VSI X charts with and without runs rules for switching between ...

Two main approaches are possible when several correlated variables must be monitored: one multivariate quality control chart or a set of univariate charts. This paper deals with the optimal design of a set of EWMA control charts to monitor the mean of several quality variables simultaneously. A specific Markov’s chain model has been developed to compute the ARL of a set of p EWMA charts. An opt...

Quality control charts indicate out of control conditions if any nonrandom pattern of the points is observed or any point is plotted beyond the control limits. Nonrandom patterns of Shewhart control charts are tested with sensitizing rules. When the processes are defined with fuzzy set theory, traditional sensitizing rules are insufficient for defining all out of control conditions. This is due...