The Statistical Process Control (SPC) system, as a core technology in modern manufacturing quality management, utilizes statistical methods to achieve real-time monitoring and anomaly warning of the ...

U.S. dollar has weakened significantly in foreign exchange markets since early 2025. Read how stagflation fears and economic ...

1. Evolution of SPC Systems Technology and Integration with Industry 4.0 Architecture ...

When Mumbai witnessed one of its heaviest rainfalls in over a century earlier last week, many residents assumed the next day too would bring floods. When an airplane crashes once in years, passengers ...

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, ...

X-bar and R charts are useful control charts for use with rational subgroups. X-bar measure between-sample variation. R charts measure within-sample variation. All processes vary. The data you collect ...

1 School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China 2 Shaanxi Engineering Research Center of Medical and Health Big Data, Xi’an Jiaotong University, Xi’an, China ...

Elected officials will continue to draw Ohio Statehouse and U.S. Congressional district maps now that voters have rejected Issue 1, which proposed to replace politicians with a citizens redistricting ...

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.