The embattled Pohlad family reversed course on a nearly yearlong effort to sell the Minnesota Twins and declared themselves the right people to keep control of the debt-ridden franchise — a swift ...

Fuzzy control charts represent a significant evolution in Statistical Process Control (SPC) by addressing intrinsic uncertainties in measurement and human evaluation that classical approaches often ...

Abstract: In this paper, we present a robust multivariate statistical process control chart using kernel principal component analysis. The proposed control chart is effective in the detection of ...

Poisson distribution is a popular discrete model used to describe counting information, from which traditional control charts involving count data, such as the c and u charts, have been established in ...

Process control charts are an important application of statistical process control (SPC) that are used in the management of processes in various industries with the aim of maintaining consistency, ...

I'm looking for a Python library that supports non-parametric statistical process control (SPC) charts. Specifically, I need functionality for SPC charts that do not assume a normal distribution of ...

Background The way that data are presented can influence quality and safety initiatives. Time-series charts highlight changes but do not clarify whether data lie outside expected variation.

Abstract: Detecting anomalies in the injection molding process remains a challenging task, demanding significant resources, data, and expertise due to their impact on cost and time reduction. While ...

Mortality among oncology patients with multiple unplanned hospital admissions. The association between systemic anticancer therapy (SACT) at the end of life (EOL) and acute care use among patients ...