EBP Integra — Enterprise Technology, Digital Trust & Strategic Protection
Solution / Digital Manufacturing

Manufacturing Situation Center

A unified operational command layer for events, incidents, escalations, decisions and cross-functional response.

Business context

What this capability solves

Manufacturing Situation Center 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.

Unified View

Consolidate production, equipment, safety and utility status.

Incident Engine

Create, classify, assign and track operational incidents.

Escalation

Role-based notifications and response timelines.

AI Dispatcher

Summarize context and recommend response based on approved knowledge.

Collaboration

Coordinate operators, maintenance and management.

Reporting

Track incident trends, root causes and action closure.

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 operations center
  • Critical equipment incident
  • Safety/utility coordination
  • Multi-site supervision

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

  • AIoT/digital twin
  • MES
  • CMMS/ITSM
  • Email/messaging
  • Video systems
  • BI
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

Incident response timeOpen incident agingEscalation SLARepeat incidents