Production context

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.

• IT-Connectivity: Connecting order data (guide).

• Downtimes: How downtimes are classified in the production context.