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Production Monitoring & OEE Foundation Reference Architecture

Explore the architecture patterns manufacturers use to deliver real-time production visibility and OEE insights.

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This architecture shows how to turn raw production data into real-time OEE visibility, downtime intelligence, and shift-level operational response with Litmus Edge.

Architecture Summary

This architecture shows how production data is collected, contextualized, and transformed into real-time OEE metrics and operational insights at the edge.

  • Litmus Edge connects production systems, structures telemetry, and calculates OEE using availability, performance, and quality logic. It enables real-time monitoring, downtime tracking, and operator response directly on the plant floor.

  • Litmus Edge Manager supports centralized rollout and scaling across sites

  • Optional extensions like Litmus Unify and cloud connectors enable multi-site visibility and enterprise integration.

End-to-end data flow

  1. 1.

    Connect industrial production data
    Litmus Edge connects to machines, PLCs, historians, and local applications to ingest raw production and machine-state data.

  2. 2.

    Store and serve production telemetry
    Collected production data is stored locally, buffered as events, and made available as structured production telemetry for downstream OEE and monitoring use cases.

  3. 3.

    Contextualize production data
    Raw production signals are enriched with asset, line, product, SKU, shift, and order context so they can be used consistently across dashboards and OEE calculations.


  4. 4.

    Calculate OEE
    Litmus Edge Analytics computes OEE using availability, performance, and quality logic to generate standardized production KPIs.


  5. 5.

    Monitor production and track losses
    Production dashboards, shift views, throughput monitoring, downtime tracking, reason codes, and bottleneck detection help teams identify losses and performance gaps in real time.


  6. 6.

    Drive operational response
    Alerts, escalation workflows, and operator guidance turn OEE insights into action so plant teams can respond quickly to production issues.


  7. 7.

    Deliver continuous production visibility
    Enable end-to-end visibility, support downtime response and corrective action, and continuous improvement across lines, shifts, and plants.

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