Define
Survey the current state, intended outcome, constraints and evidence obligations.
Operational evidence from machine-level data
Production & System Analytics
Turn PLC, motion, alarm, quality and production data into reliable diagnostics, performance insight and prioritised engineering action.
The engineering problem
Make the complete system supportable
Dashboards do not fix inconsistent tags, missing context or unreliable timestamps. Axiotech starts at the machine interface, establishes the meaning and quality of the data, then builds analytics that production and engineering teams can trust.
Capability
What Axiotech can undertake
- Machine-state, cycle, downtime, alarm and energy data models
- OEE readiness, loss-tree design and reason-code governance
- Condition monitoring, anomaly detection and predictive-maintenance analytics
- Motion, timing, communications and software performance diagnostics
- Quality correlation, traceability and production reporting
- Fleet, line and multi-site analytics with secure drill-down to machine evidence
Project evidence
Typical deliverables
- Data-quality and analytics-readiness assessment
- Tag, state, event and calculation specification
- Validated dashboards and engineering diagnostic views
- Baseline, threshold and alert strategy
- Ownership, review and continuous-improvement process
Delivery model
Assessment, design, proof, commissioning and support
The scope can begin with a focused review or proof of concept, then move through agreed technical and commercial gates. Axiotech documents assumptions, interfaces, responsibilities, tests and handover so the result can be operated and maintained after commissioning.
Deliver
Engineer and integrate the agreed system with controlled reviews and acceptance gates.
Sustain
Commission, train, hand over and provide planned remote or onsite support.
Next step
Describe the machine, software estate or production outcome.
We will identify a sensible first assessment or work package.