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Deployed by 1 company

Maintenance scheduling optimisation software

Page last modified
April 11 2024

GEAR is a prescriptive maintenance tool that uses industrial mathematics to optimise scheduling of maintenance events while adhering to asset management strategies, resource and budgeting constraints, and safety thresholds.

Pros & Limitations
Better manage resource allocation for large maintenance events
Improve workforce safety threshold adherence onsite
Deliver asset strategies that optimise whole of life performance
Optimum timeframes to preserve asset integrity and maximise productivity
Optimise maintenance window schedules to ensure compliance with business objectives
Predict asset failure to minimise disruptions to production
Requires import of data for existing equipment
Specification Title Specification Description
Areas of Application
Maintenance Strategy Optimisation | Maintenance Planning Optimisation | Availability and Capacity Analysis | Failure Prediction
Operational (Shiftly / Daily) | Tactical (Weekly) | Strategic (Monthly / Yearly)
System-wide optimisation: Fixed plant assets and mobile equipment.
Response time
Save 1000's of hours in travel per year through improved resource allocation.
Time on tools
Spend more time analysing results and less time manually planning.


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Technology Readiness Level

The Technology Readiness Level (TRL) indicates the maturity level of novel technologies. Learn more about the TRL scale used by us.


Development Technology demonstration Mature / Proven
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We are a passionate team of innovators, software engineers and mathematicians helping the industry make better decisions with mathematics and technology.

From planning the operations of the largest mines in the world to scheduling sporting competitions, Polymathian has successfully helped businesses transform into industry leaders.

With 20+ years of experience, 60+ customers and 30+ staff.

We are world leaders in the application of numerical optimisation, simulation, machine learning and statistical analysis to complex problems faced by the industry. No problem is too complex.

Relative Business Impact

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