Transform Maintenance into Intelligence

By combining predictive analytics, life cycle cost optimisation, and cost-benefit analysis, we help manufacturers make smarter decisions that extend equipment life, reduce downtime, and unlock measurable value. MaintWise is where engineering meets economics — delivering maintenance strategies that pay off today and sustain tomorrow.

Request a pilot See how it works
Modern production cell with robotic arm and conveyors, representing predictive maintenance insights.
Typical outcome: 15–30% downtime reduction

About us

MaintWise is a research-led capability from Aston University, progressed based on long-term research track in smart and sustainable manufacturing. We specialise in predictive maintenance planning with life cycle cost and reliability analysis to help manufacturers extend asset life and realise measurable value. Find more about the team →

Core capabilities

Four pillars combine engineering reliability with economic value.

Predictive Maintenance Planning

Optimise strategy & intervals using reliability and degradation models, balancing cost, availability, and risk.

Life Cycle Cost (LCC) Analysis

Total cost of ownership, sensitivity and value scenarios across the asset lifetime.

Cost-Benefit Analysis (CBA)

Quantify cost saving and business impact for equipment-level or factory-level programs.

Digital Twin for PdM

Simulate real-time data streaming, test what-ifs, and de-risk investments. Roadmap to real-time IoT integration.

How it works

A focused pipeline from data to decisions.

1

Ingest

Load data imports (CSV/SQL), generate simulated data OR live IoT sensors streams.

2

Model

Predictive insights, reliability & cost models capture degradation, failures, and maintenance effects.

3

Optimise

Search candidate strategies & find ones that maximise reliability and minimise costs.

4

Decide

Clear recommendations with dgeradation, ROI/LCC/CBA snapshot and exportable reports.

Data → Models → Optimiser → Decisions diagram (placeholder)

Evidence & credibility

Built in academia with proof-of-concept application.

Glass forming components: optimised PdM planning for sustainability

Demonstrates applicability and impact on critical forming components.

Paper: Advancing Sustainable Glass Manufacturing…
Download summary →
Life cycle optimisation of industrial equipment (CNC)

Total cost & value over lifetime with maintenance strategies.

Paper: Enhancing Sustainability in Manufacturing…
Download summary →
Digital twin for smart maintenance planning (fuel cell)

Model-based planning validated by a transport energy case.

Paper: Utilising Digital Twins for Smart Maintenance…
Download summary →

Where MaintWise fits best

Legacy equipment (placeholder)

Legacy & Long-life Assets

Improve availability and extend life of ageing equipment.

Process manufacturing (placeholder)

Discrete & Process Manufacturing

Optimise strategies on critical lines and bottleneck machines.

OEM & integrators (placeholder)

OEMs & Integrators

Offer value-added maintenance strategies with quantified ROI.

ROI snapshot

Simple estimate based on downtime reduction. Full analysis via LCC/CBA in pilot.

20%
Indicative only. We validate with your data via LCC/CBA in the pilot.

What you get in a pilot

  • Data ingestion & quality review
  • Reliability & cost model fit
  • Optimised strategy recommendation
  • Full LCC & CBA with sensitivities
  • Executive summary and action plan
Request a pilot Tool site →

MaintWise Insights: the software

Built to turn data into reliable, economic maintenance decisions.

Highlights

  • Predictive insights & RUL
  • Strategy optimisation & scheduling
  • Equipment-level and factory-level LCC/CBA
  • Scenario analysis & what-ifs
  • Exportable reports
Request demo access Visit tool →
LCC-Optimiser dashboard preview (placeholder)

Contact us

Tell us about your assets and objectives. We’ll reply with next steps for a pilot or demo.

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