Solution / Digital Manufacturing

Industrial Digital Twin

A structured digital representation of enterprise, plant, workshop, machine, sensor and process context for operational intelligence.

Business context

What this capability solves

Industrial Digital Twin addresses fragmented operational data, delayed decisions and manual intervention by converting field, equipment and enterprise-system signals into governed, measurable operating workflows.

EBP Integra delivery principle

Technology is implemented as an operating capability: architecture, integration, governance, assurance, people, procedures and measurable outcomes are designed together.

Deep-dive capabilities

Capability model

Modular building blocks allow the scope to start with a focused pilot and expand into an enterprise operating model.

Object Hierarchy

Model company, site, line, asset, component and sensor relationships.

Event Model

Normalize alarms, incidents, work orders and process events.

Context Fusion

Combine telemetry, documents, maintenance history, video and business data.

Process View

Represent process state, dependencies and operational constraints.

What-If

Connect simulation/solver outputs for scenario analysis.

APIs

Expose normalized asset context to analytics and enterprise systems.

Reference architecture

How the capability fits together

Final topology, control placement and deployment model are validated during discovery and detailed design.

Physical / OT Layer

Machines, sensors, PLC/SCADA, cameras, vehicles, field devices and operational assets.

Connectivity & Edge

Industrial protocols, gateways, private wireless/wired networks, edge processing and secure data transport.

Digital Platform

Normalized asset model, digital twin, event/incident logic, analytics, AI and business rules.

Operations & Enterprise

Dashboards, mobile workflows, command center, ERP/MES/WMS/CMMS/ITSM integration and management reporting.

Controls & governance

OT/IT segmentation and least-privilege integration
Asset ownership and data-quality controls
Safety and human override for operational actions
Audit trail for alerts, recommendations and operator decisions
Resilient/offline behavior for critical operations
Cybersecurity and change control for edge/OT components

Priority use cases

Plant command center
Maintenance context
Process optimization
Multi-site benchmarking

Key deliverables

Current-state process and data assessment
Reference architecture and integration map
Configured pilot/use-case design
Operational dashboards and alert logic
SOP, escalation and RACI
Acceptance/KPI baseline and scale roadmap

Integration considerations

SCADA/historian
ERP
MES
CMMS
Document repositories
Analytics/AI

Implementation

Phased delivery

Each phase ends with evidence, acceptance criteria and a decision gate before broader scale-out.

1. DiscoverMap assets, process, data, pain points and existing systems.

2. ConnectIntegrate selected telemetry, applications and edge/network components.

3. OptimizeConfigure digital twin, analytics, AI, incidents and operator workflows.

4. ScaleExpand sites/assets, automate integration and institutionalize KPIs.

Outcome and KPI framework

Twin coverageData freshnessContext completenessDecision cycle time