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Solution Blueprint
Autonomous Plant-Floor OEE

Manufacturing & Logistics

Unolabs builds the high-fidelity digital twins and operational lakehouses required for autonomous manufacturing. We connect plant, MES, ERP, and sensor data into a single engineering system that optimises OEE, asset health, and supplier risk in real-time.

Operational Context

For discrete manufacturing leaders, automotive components, industrial products, and global logistics networks.

Strategic Mandate

Engineering specialised data zones and autonomous processing layers for Manufacturing & Logistics leaders.

Inside Manufacturing & Logistics

You know your OEE. You don't trust the number.

Every plant computes availability, performance, and quality a little differently, so the corporate OEE roll-up starts an argument instead of a decision. Unplanned downtime is costed per hour, yet the MES, the historian, and SAP each tell a different story about the same stoppage — and tier-2 supplier exposure never makes it into the view at all. We build the ISA-95-aligned contextualisation layer that makes one number stand.

Industry Challenges

Architectural Bottlenecks Hindering Manufacturing & Logistics Transformation

Systemic OT/IT Fragmentation: Plant-floor MES, IoT, and ERP data sit in disconnected silos with inconsistent grains and no shared ISA-95 context hierarchy, preventing real-time operational visibility.

Disconnected Value Chains: Operations teams cannot trace asset health, unplanned downtime cost per hour, and tier-2 supplier exposure in a single engineering view.

Governance Gaps in Telemetry: Sensor-driven predictive maintenance and OEE programmes fail when high-frequency telemetry data is not governed and contextualised.

Anonymised Use Cases

Relevant patterns from industry work

Each pattern represents a validated technical outcome delivered for global enterprise clients.

Use Case 01

Digital Twin for Scope 3 Traceability

Developed a verifiable sustainability twin for a major manufacturer, tracking real-time Scope 3 emissions across 500+ suppliers to meet 2026 ESG compliance mandates.

Use Case 02

Agentic Predictive Maintenance

Implemented autonomous agents that diagnose asset faults and trigger work orders in SAP without human intervention, achieving a 15% increase in OEE for an automotive plant.

Read Technical Proof
Use Case 03

Connected Vehicle Data Platform

Modernised a global automotive leader's data foundation with a multi-domain platform and golden records, powering real-time connected vehicle analytics.

Read Technical Proof
Industry 5.0 Human-AI Collaboration
Autonomous Plant-Floor OEE
Explore the Demand Blueprint
Industry Flow

Manufacturing & Logistics Operational Flow

Input

ERP, MES, WMS, IoT, suppliers

Production, inventory, shipment, quality, asset, supplier, and sensor events enter from plant and logistics systems.

SAP + MES + IoT
Treat

Operational lakehouse

Events are standardised by asset, plant, product, order, supplier, location, and time with quality and lineage controls.

Streaming + ETL
Model

OEE, risk, maintenance, movement

Operational features power downtime analytics, predictive maintenance, supplier risk, inventory visibility, and logistics exception detection.

ML + graph
Activate

Plant, logistics, procurement, finance

Teams receive dashboards, alerts, forecasts, and workflows for throughput, service, and cost decisions.

BI + alerts
Industry Architecture Blueprint

Diagnostic view of the Manufacturing & Logistics data stack

This blueprint details the specialised processing zones, control points, and delivery channels specific to the Manufacturing & Logistics landscape.

Operational Lakehouse Blueprint
MFG_OS_V1.1
[Asset Telemetry] → [MES / ERP Sync] → [Operational Store] ↑ ↓ ↓ [Throughput AI] ← [OEE Calculation] ← [Downtime Root Cause] ↑ ↓ ↓ [Plant Cockpit] ← [Maintenance Alert] ← [Supplier Risk Map]
Featured Insights

Expert insights for Manufacturing & Logistics

Enterprise migration and production operating model stories.

Outcomes

Industry Transformation Outcomes

Real-Time Operational Visibility

Predictive Maintenance Maturity

Resilient Supply Chain Orchestration

Connect the Dots

Engineering Manufacturing & Logistics Ecosystems

How our 2026 service catalogue integrates to solve high-growth industry challenges.

Step 01

Real-Time Streaming & Event Architecture

Engineering

"Enable sub-second visibility into global logistics movements."

Sub-Second Decision Latency (workload-dependent)Exactly-Once Event Orchestration
Step 02

Data Engineering & Integration

Engineering

"Engineer high-frequency OT/IT integration pipelines for real-time digital twins and plant-floor OEE automation."

Accelerated ModernisationReal-Time Visibility
Step 03

Data Architecture

Strategy

"Decouple monolithic plant-level silos into a domain-driven data mesh for real-time MES integration."

Azure, AWS, Fabric, SnowflakeC4-Level System Design
Step 04

Enterprise Data Platform Engineering

Engineering

"Architect production-grade industrial lakehouses that consolidate MES, ERP, and IoT signals into a single source of truth."

Ecosystem InteroperabilityModernisation Acceleration
Step 05

Enterprise Decision Intelligence & Operational Analytics

Intelligence

"Transition from historical downtime reporting to predictive maintenance and supplier risk intelligence."

Operational IntelligenceClosed-Loop Decision Workflows
Step 06

DevOps & SRE

Engineering Operations

"Implement DataOps to ensure 99.9% reliability for your production and asset telemetry pipelines."

Accelerated ModernisationOperational Delivery Velocity
Step 07

Data Visualisation & BI Dashboards

Intelligence

"Design immersive operational cockpits to visualise plant throughput, OEE, and supplier risk in real-time."

Executive Decision AccelerationReal-Time Operational Visibility
Discovery Cycle

Start Your Manufacturing & Logistics Modernisation

We'll review your current architecture, identify immediate bottlenecks, and draft a production-grade roadmap for your autonomous transformation.

"Bring the downtime event your teams still argue about. We'll trace it end to end."