Connecting Booking Data
Capturing the Production Order Assignment of Your Machines
Why Production Context is Indispensable
Machine and sensor data alone are not sufficient for conducting meaningful analyses in a production environment. Only by linking this data with the so-called production context can a complete picture of the manufacturing process emerge. This context includes information such as:
Which production order or batch was being produced at a given time
What product was being manufactured
The resulting quality of the end product
Additional production-relevant metadata, such as product master data or quality feedback
Only with this additional layer of information, it is possible to obtain precise and meaningful analyses, as well as accurate KPIs and metrics.
This is the result of a timeline that includes all production-relevant information:
Added Value Through Linking Machine and Context Data
Combining production context with machine and sensor data forms the basis for most use cases in manufacturing:
Targeted Data Analysis: Process data can be filtered and compared by production order, product, or quality events – for example, for root cause analysis in case of complaints.
Automated OEE Calculation: Overall Equipment Effectiveness is calculated automatically, by product, and for each machine, order, and site.
Performance Benchmarking & Golden Run Detection: Product-specific performance can be systematically evaluated, and optimization potentials identified by comparing with the best-known production run (Golden Run).
These and many other use cases are only made possible through the intelligent linking of process data with production context – forming the foundation for data-driven production optimization.
How can Production Context be Integrated?
We typically source production context from IT systems such as ERP, MES, BDE, or QMS. These systems can also be connected to the ENLYZE Platform, creating a continuous data foundation that encompasses both OT and IT data.
If this information is not yet digitally recorded, production orders can alternatively be entered via the ENLYZE App to provide the necessary context.
Required Attributes
To link production context in ENLYZE with process data, certain attributes are mandatory.
Mandatory Attributes
These are essential for successful integration.
order_code
Unique identifier of the production order
product_code
Identifier of the manufactured product, used for product-specific analyses such as Golden Runs and data sheets
start
Start time of the production order (timestamp)
end
End time of the production order (timestamp)
machine_code
Machine on which the production order was executed
Optional Attributes
Additional attributes that can be synchronized but are not required.
quantity_total
Total quantity produced within the production order
quantity_good
Quantity of good units produced
quantity_bad
Quantity of scrap produced
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