Manufacturing & Operations
Use Ontologies to Build Digital Twins and Optimize Operations
The Problem
Trapped Data
IoT sensor data, maintenance logs, ERP systems, and supplier databases all exist in isolated silos — making it impossible to correlate equipment health with operational context without months of integration work.
Unqueryable Relationships
The connections between machines, suppliers, batches, and processes are understood by engineers but not queryable by systems. Root cause analysis and dependency mapping require manual investigation.
Reactive Operations
Without connected, real-time visibility, teams react to failures rather than predict them. Supply chain disruptions cascade unexpectedly, and safety and compliance gaps go undetected until it's too late.
The Perfect Ontology Solution
Why It Matters Now
- Unplanned downtime costs manufacturers millions per hour — predictive maintenance requires connected data
- Reactive maintenance and manual root cause analysis are no longer competitive
- Safety and compliance gaps need traceable, real-time operational knowledge
- Supply chain disruptions require rapid simulation of cascading impacts
- Competitive pressure demands OEE gains without replacing existing infrastructure
Solution & Features
- Real-time visibility across equipment, sensors, maintenance logs, and production schedules
- Connect IoT data with maintenance history and operational context in one ontology
- Trace cascading failures across machine dependencies and process chains
- Map supplier dependencies to model disruption impact before it happens
- Understand IoT anomalies with business and operational context
- Run what-if scenarios and digital twin simulations on your actual data
- Connect IT, OT, and supplier systems without data migration
Use Cases
- Predictive maintenance — detect failure signals before breakdowns occur
- Root cause analysis across complex machine and process dependencies
- Supply chain disruption modelling and contingency planning
- Cascading failure detection and containment
- OEE (Overall Equipment Effectiveness) monitoring and optimisation
- IoT anomaly correlation with business context
- Safety and regulatory compliance monitoring
- Digital twin simulation for process optimisation
Benefits
- Fewer unplanned outages through predictive, connected insights
- Resilient supply chain planning with real-time disruption simulation
- Measurable OEE gains without replacing existing systems
- Fully traceable operations for safety and compliance audits
- Lower maintenance and operational costs
- Graph-level insights without requiring a graph database
- No data migration — connects existing IT, OT, and supplier systems
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