Data Collection: How To#
During manufacturing operations, there is a large amount of data that is generated. This data is very valuable, and it is required for the purposes of quality, traceability, monitoring, control, root-cause analysis, and continuous improvement. As an integral part of the Manufacturing Execution System (MES), all collected data is highly contextualized, thus enabling all sorts of correlations.
Data Collection allows predefined data collections to take place at certain processing points (example: at Track-In or Track-Out) using context resolution. It also supports the capture of data at any time using an ad-hoc data collection. Data can be collected manually or automatically via automation.
Available guides#
| Module | Title | Guide | |
|---|---|---|---|
| Data Collection: How To | How to: Add an Instrument to a Resource | How To | |
| Data Collection: How To | How to: Create a Data Collection | How To | |
| Data Collection: How To | How to: Create a Data Collection Limit Set | How To | |
| Data Collection: How To | How to: Create an Instrument | How To | |
| Data Collection: How To | How to: Create a Parameter | How To | |
| Data Collection: How To | How to: Perform an Ad-hoc Data Collection | How To |
Table: Data Collection: How To guides