Control charts are a powerful tool for monitoring and improving the quality of processes and products. They are based on the principle of statistical process control (SPC), which uses data to ...

Learn the best practices for creating control charts in Minitab for Six Sigma ... meticulously define these parameters based on the characteristics of your process data. Utilize statistical ...

Control charts are statistical tools that are used to study the behavior of a process over time. They are useful in distinguishing between the random or normal process fluctuations, also referred to ...

In 1924, Dr. Walter Shewhart was working at Bell Telephone Laboratories. On May 16 of that year, Dr. Shewhart wrote a memorandum in which he presented and proposed the process control chart to his ...

Statistical Process Control (SPC) has been around for a long time. But only in the last several years have many modern companies have begun working with it more actively – not least because of the ...

Control charts for monitoring relative risk rate in the presence of Weibull competing risks with censored and masked data; Copula-based multivariate EWMA control charts for monitoring the mean vector ...

The use of statistical process control (SPC) charts in healthcare is increasing. The primary purpose of SPC is to distinguish between common-cause variation which is attributable to the underlying ...