Clean PNR data utility

SPC dashboard monitors manufacturing processes with technology that measures and controls quality. SPC triggers various machines and instruments to provide quality data from product measurements and process readings.

Statistical process control data is collected in two ways: first as measurements of a particular product and second as process instrumentation readings.

Quality control Analysis

Pareto charts

These are bar graphs that represent time and money or frequency and cost. Pareto charts are particularly useful to measure problem frequency. They show the 80/20 Pareto principle: addressing 20 percent of the processes will resolve 80 percent of the problems.

Stratification

This is a tool to separate data that simplifies pattern identification. Stratification is a process that sorts objects, people, and related data into layers or specific groups. It is perfect for data from different sources.

Control charts

These are the oldest, most popular statistical process tools

How does it work ?

Click on buttons in the `Parameter` column to visualize details of the trendline on the bottom panel.

Click the `Start` button, trends are updated every two seconds to simulate real-time measurements. The Sparkline on top panel and Control chart on bottom panel show Shewhart process control using mock data. Data falling outside of control limit are signals indicating 'Out of Control(OOC)', and will

trigger alerts instantly for a detailed checkup.

Operators may stop measurement by clicking the `Stop` button, and edit specification parameters for selected process lines(metrics) in Specification Tab.