Improve equipment performance

Real-time fleet tracking, eco-drive system, driver behavior, maintenance.

Monitor, analyse & improve mine equipment performance

Project decision analysis

Real-time fleet control

Process improvement

Material movement controls

Process plant efficiency controls

Process plant maintenance controls

Plant-to-port transport controls

Port material handling controls

Pit to port mass balance

Budget conformance control

Equipment efficiencies

Supply chain optimisation

How we improve mine equipment performance

Mining equipment life-cycle modelling

Project life-cycle modelling decision-making

Real-time monitoring and control of your fleet

Detect mechanical and preventative maintenance

Notification of dangerous and aggressive driving

Driver mechanical and technical behaviour

Fleet tracking, maintenance control

Preventative maintenance

Driver behaviour & skills analysis

Mining 

operations improved

Equipment
performance optimised

Real-time fleet tracking, eco-drive system, driver behaviour, maintenance.

Our unique ability to extract and analyse data, generate predictive diagnostic models and provide easy-to-understand and actionable reports that directly translate into operational efficiencies and bottom-line savings benchmarked against equipment Life-cycle models which are integrated into the mine engineering process.

Current status

Research area

Future direction


Mining equipment life-cycle modelling

Develop mine equipment life-cycle model Integrated LCC with mine engineering

Equipment component utilisation Maintenance and operating costs

Budget forecast tracking

Equipment and component efficiencies


Project life-cycle modelling decision-making

Equipment selection and cost modelling Decision case life-cycle model

Determine project case

Establish level of improvement

Prepare implementation models

Post tender commercial control


Real-time monitoring and control of your fleet

Equipment status, location, operating performance, dashboards, efficiencies

Performance, costs, savings Identify areas of under performance

Benchmark comparisons

Life-cycle models Performance improvement


Detect mechanical and preventative maintenance

Vehicle health data, extracted from CANbus and made visible on-line

Equipment conditions, performance Identify areas of improvement

Proactively monitor and schedule equipment maintenance


Notification of dangerous and aggressive driving

Real-time accurate data collection from the G-sensors and CANbus

Driving behaviour and habits of your drivers. Equipment performance

On-board DMAS provides real-time feedback alerting drivers to their driving behaviour.


Driver mechanical and technical behaviour

Monitor how drivers engage mechanically such as gear changing, clutch usage & braking.

Analyse trends and identify problematic drivers Training of drivers

Remedial action, training and driver skill upgrading strategies