The quality control chart (QCC) or control chart is used for quality management purposes to analyze test data. The chart shows statistical samples over a time period in a graphical way. It consists of statistical variables like average value, warn limits and action limits of samples. Based on the characteristics of the graph, you can see anormalies and act immediately.
key2analyze is a highly flexible web based control chart for the statistical analysis of process values in production industries. key2analyze can be connected to almost every data acquisition system with OPC (DA, HDA) server or SQL databases.
The analysis and the complete configuration can be done simply by using a web browser, the key2analyze frontend is a zero-installation client.
The administration of key2analyze allows e.g. to create, edit, delete, group or filter control charts. It can run up to 8 validation rules per control chart with variable K factors. An automatic check routine can be configured to run the checks automatically and periodically whenever necessary. The overview screen of the control charts will then show when limits were hit in a clearly arranged way.
Optional it is possible to alert the user directly by email, when a validation rule is out of spec.
The graph shows different representations of the statistics, such as time based, product based, distributed sample view, frequency distribution view etc.
All important parameters of key2analyze can be set and modified within the application.