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What is Maptek Evolution?

Maptek Evolution produces short, medium, long term and strategic life of mine schedules alongside practical production plans. It enables organizations to maximise the value of a deposit without compromising operations and without simplifying data.

The Maptek enterprise level scheduling solution optimises NPV using cut-off grade techniques, a method for maximising project value. Evolution also optimises the haulage fleet to deliver cost savings early in the schedule.

Using this software, operations gain multiple solutions run in parallel using high performance cloud computing, with solutions ‘learning’ from each other to continually generate new, better solutions that solve real world problems.

Evolution delivers a workflow from strategic to short term scheduling using a single data source. Users can rapidly iterate scenarios that consider multiple objectives such as cut-off grade, production schedules, dynamic route allocation, haulage cycle times, waste dump allocation, fuel burn and productivity to generate a final optimised schedule.

Haulage is considered as part of an integrated mine planning - scheduling process, and further cost savings can be achieved with waste dump optimisation. Flow-on benefits include deferred capital expenditure, minimised clearance costs, and improved waste planning. An efficient rehabilitation stage means environmental bonds can be returned sooner.

Customers access Evolution via software-as-a-service. Users run Evolution locally on a notebook or desktop computer to import data, set up and analyse schedules and export models and scheduling files. Processing of schedules is completed via a secure hybrid cloud system.

Categories & Use Cases

Technical Details

Technical Details
Deployment TypesSaaS
Mobile ApplicationNo

FAQs

What is Maptek Evolution?
Maptek Evolution produces short, medium, long term and strategic life of mine schedules alongside practical production plans. It enables organizations to maximise the value of a deposit without compromising operations and without simplifying data.