TYPICAL CURRENT STATE
Disconnected information.
Configurations and mappings diverge by site; deployed revisions and rollback authority are unclear. Local results are manually reconstructed after interruptions.
TRUSTED FACTORYFLOW
Scale across factories with controlled local execution
Standardize core configuration and integration while preserving site execution boundaries and data accountability.
Replicate the pilot without replicating its risks.
The bottleneck to resolve
Factories may share a process but differ in layout, equipment, firmware and network quality. Copying the first site configuration can carry incompatible station IDs, permissions or policy. WAN loss further exposes the need to distinguish central decisions from already-delegated local work.
Assess expansion after a pilot has established ownership, equipment profiles and acceptance criteria. Select Core/Edge placement and infrastructure against data, operations and site-readiness requirements.
Where does the operating flow change?
REFERENCE CONFIGURATION
Explicit confirmation milestones.
Separate shared templates from site parameters. Deployment records retain targets, approvers and outcomes. Edge runs authorized work only; Core reconciles before domain posting.
Follow one demand to its outcome.
CIO/IT operations · site administrator · Edge engineer · business data owner
SITE-080 → EDGE-080 → TASK-080 → BATCH-080
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01
Agree master data, site authority and equipment profiles for the new factory.
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02
Distribute versioned policy and permitted local work scope.
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03
During WAN loss check expiry and conditions; retain results with sequence/checkpoint.
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04
Reconnect, deduplicate replay and have the domain owner resolve conflicts before confirmation.
When work does not follow the expected path.
Each blocker has its own data, authority and resumption conditions.
Policy expires offline
Do not authorize new out-of-scope work. Field owners apply the engineered procedure; queue state is not a safety decision.
Core changes a task during outage
Retain both revisions and evidence; the data owner assesses physical effects before resolution. Do not default to timestamp-based last-write-wins.
Roll back one site
Check configuration, adapter and data/checkpoint compatibility. Reconcile active work before rollback; other sites are not implicitly changed.
Measure the right problem before scaling.
Measures to agree for the pilot, not promised improvement levels.
Replicability
Record reusable and site-specific components rather than count nodes alone.
Data recovery
Test checkpoints, replay and conflicts against a stated dataset and record observed loss, duplication and reconciliation time.
Revision governance
Compare approved and deployed revisions and rollback outcomes and track configuration drift.
Initial scope and expansion conditions.
A pilot with explicit outputs
Use a second site with a comparable workflow but validate its own data and equipment. Test cross-site authorization, WAN loss, policy expiry and rollback. RPO/RTO or availability targets become commitments only after design, measurement and agreement.
Conditional expansion
Standardize release packages and tests by site family while retaining local parameters and windows. Central monitoring preserves provenance and freshness so disconnection is not mistaken for machine shutdown.
Components and assessment documents.
Map this use case to your factory.
Discuss stations, existing systems and the measurement period to define the first investment scope.