How order data gives meaning to machine data and what analyses this enables.
Machine data shows how production happened. Order data shows what was produced. Together, they form the production context, which is the foundation for meaningful analyses.
What machine data shows
Time series from controllers answer questions like:
How fast was the machine running?
What temperatures and pressures were present?
When were there interruptions?
How long did certain phases last?
What machine data doesn't show
Without context, important questions remain unanswered:
Which product was being manufactured?
For which order was production running?
What product specifications apply (setup sheet)?
Was an interruption planned (changeover) or unplanned (breakdown)?
This information comes from the ERP or MES system and is transferred to ENLYZE as order data.
What order data contains
An order describes a time period in which a specific product is manufactured on a machine. The key information:
Attribute
Description
Order number
Unique identifier of the production order
Product
What is being produced
Start and end
Time range of the order
Machine
On which equipment production takes place
Quantities (optional)
Good quantity, scrap quantity, total quantity
Machine data + order data = production context
When order data overlays machine data as time windows, everything makes sense:
A speed change becomes explainable because a product changeover took place.
An interruption becomes recognizable as a planned changeover.
The actual machine settings can be compared to the product specifications from the setup sheet.
Analyses enabled by production context
Analysis
Prerequisite
Result
OEE
Machine data + order data + configuration
Availability, performance, quality per order
Setup sheet comparison
Machine data + product specifications from setup sheet
Detect deviations from defined bounds
Product analysis
Machine data + order data
Compare all orders of a product
Energy KPIs
Power data + quantity data + order data
kWh per kg, per order, or per product
Downtime analysis
Machine data + downtime categorization
Causes, durations, and frequencies
Valuable even without order data
Order data is not strictly required. Even with machine data alone, many analyses are possible:
Live monitoring of process parameters
Historical trends and patterns
Alerts on threshold violations
Comparison of time ranges
Correlation analyses between variables
Starting with machine data alone is sensible. Order data can be added later when the need arises.
How to connect order data with ENLYZE is described under IT-Connectivity.
Related topics
Understanding OEE: How OEE is calculated from the production context.
