PRESS RELEASE: Maptek's Evolution 5 delivers an updated interface for scheduling with attributed solids. This upgrade enables short- or medium-term scheduling with block models or solids and seamless handling of stratigraphic reserves. It represents a more intuitive way to see the source information for scheduling, the company explained.
Evolution product manager and mine planning business manager for Maptek Eduardo Coloma said that a three-month beta testing program had been incredibly valuable for identifying improvements before the release.
"Customer feedback provides an understanding of what the industry wants to see next, helping us prioritise ideas for our scheduling roadmap," he noted.
Enhanced road network tools can save time setting up schedules, leaving engineers more time for analysis.
With Evolution 5, users can assign dependencies to solids and employ their preferred approach to better control schedules. They also gain more control over processes and the accumulation of parcels. Better validation of user data before submitting a scheduling job saves time later in the process and improves confidence.
With Evolution Strategy users can define residual capital categories that would apply towards the end of mine life when stockpiles are being depleted, allowing for dynamic adjustment of fixed administration costs.
Reporting and graphing of any data related to the schedule makes comparison easier, allowing engineers to confidently decide on the preferred plan to adopt.
A new Aggregation module can be purchased in conjunction with Evolution 5. Targeting stratigraphic deposits, the new module allows operations, for example, to calculate coal and waste quantities and qualities as they change at each stage of the mining process.
Coloma added: "A flexible yet automated step-based workflow allows users to define parameters, and automatic calculations remove the need for complex scripting. At the same time, transparency is maintained regarding how models were created and what inputs were used."
Maptek collaborates with mining experts to provide targeted applications like multi-object optimisation to deliver practical yet value-adding schedules.
"Who else can optimise multiple objectives, millions of blocks, multiple models and multiple processing options simultaneously using a population of initial schedules?" Coloma said.
"When targeting multiple objectives, Evolution does not return a single schedule but rather a set of optimised trade-off schedules.
"A study in South America proved a significant reduction in the preparation and running time."
