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 ...

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 ...

Many food and beverage manufacturers still rely on outdated, paper-based systems for quality control, which leads to increased costs, wasted efforts, and quality issues that put consumer safety and ...

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 ...

Abstract: The procedure of building control charts with variable control limits based on nonparametric bootstrap percentile method is proposed. It makes possible to construct control chart of any ...