Production signals
Cycle time, throughput, states, stops, alarms, counters and timestamps.
PLC · historian · MES · CSVData & integrationsStart with the evidence
Start with the evidence
you already have.
WEYSENS is designed for staged adoption. A first value case should reveal whether existing evidence is enough, where the gaps are and what additional data is genuinely worth collecting.
Minimum viable evidence
You do not need a large data programme to begin.
The exact inputs depend on the loss mechanism. A pilot can start from a bounded set of operational evidence and add data only when it materially improves confidence or value attribution.
Production context
Product, shift, recipe, batch, routing, changeover and operating mode.
MES · ERP · manual contextMaintenance evidence
Work orders, faults, interventions, component history and inspection notes.
CMMS · EAM · service logsQuality evidence
Scrap, defects, rework, measurements, deviations and release status.
QMS · LIMS · inspection dataCommercial assumptions
Margin, labour, energy, material, capacity value and recoverability assumptions.
Finance · ERP · agreed modelEngineering knowledge
Known constraints, process logic, operating standards and expert judgement.
Engineers · SOPs · shift notesIntegration principle
Connect progressively, with controls.
Initial validation can use controlled extracts. Deeper connectivity should be justified by the value case and implemented with least-privilege access, auditability and clear ownership.
1ExtractControlled files or exports for fast validation.
2SynchroniseRead-only API/database access where justified.
3OperationaliseAutomated pipelines with monitoring and controls.
WEYSENSEvidence Layer
MES
Historian
CMMS
ERP
QMS
Files
Data readiness gate
What we would ask before a pilot.
QuestionWhy it mattersMinimum answer
Can events be timestamped?Needed to establish sequence and support correlation analysis.Yes, to useful process resolution
Can operating context be identified?Prevents comparing unlike production conditions.Product / mode / batch / shift
Is there a measurable consequence?Allows prioritisation beyond technical curiosity.Time, throughput, scrap, energy or cost
Can assumptions be challenged?Keeps financial value transparent and credible.Named owner + source
Can an intervention be verified?Without before/after evidence, the verification loop is incomplete.Observable post-action signal
Next step
Bring one problem, not your entire data estate.
We can frame the evidence needed for a bounded loss case before deciding whether any deeper integration is worthwhile.