A tkinter based local tool for creating a statistical control chart locally. This is still in development and more features will be added over time including performance improvements via vectorizing ...

Statistical process control charts (also known as "Shewhart charts" after Walter A. Shewhart) are widely used in manufacturing and industry as a quality-control tool. The aim of this project is to ...

Abstract: Statistical quality control ... that are used to monitor and improve quality. SPC is one of the tools included in SQC and consists of several tools useful for process monitoring. Quality ...

In Python, you can use the PySPC library to create control charts, the scipy.stats module ... source e.g. Western Electric Company, Statistical Quality Control Handbook., Indianapolis, Indiana ...

Statistical Quality Control: Using MINITAB ... Discusses aspects of Six Sigma Methodology Teaches readers to use MINITAB, R, JMP and Python to create and analyze charts Requires no previous knowledge ...

R and Python ... and plot the chart, specifying parameters such as the type of chart, data columns, control limits, and labels. Then you can analyze and interpret the chart with statistical ...

Background and objective: Monitoring the effect of service changes on quality of care is essential. By using statistical process control (SPC) charts, this study aimed to explore the relationship ...

Revision of statistical process control procedures, evaluation of control chart performance and statistical design of charts, control of high quality process, multivariate process control, new process ...