SOT

Underground Schedule Optimisation

Waist up shot of Tim Peters, owner of Piran Mining, during an interview talking about SOT - Schedule Optimisation Software Watch on YouTube
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Quick Schedule Optimisation

Test and compare different scenarios and produce an optimised schedule.

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Maximise NPV

By comparing hundred’s of different schedules, you can clearly see which one produces the maximum NPV.

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Automated Learning

Machine learning allows SOT to continually generate maximised outputs based on previous outputs.

SOT

Automatic Schedule Optimisation

Did you know that for a given design, changes in the mine schedule can impact the net present value (NPV) of the project by over 25%? SOT addresses this opportunity by applying custom heuristics and sophisticated genetic algorithms that assess many scheduling options, and systematically learns which strategies deliver the greatest value. It is a stand-alone software that integrates with EPS by receiving an EPS file as an input and also having the ability to output an EPS file once the schedule has been optimised. As typical mine activity scheduling is time-consuming, mine planners usually have limited time to test different scenarios and conduct trade-off studies. However, with SOT , once a mine design is discretized into activities to be scheduled and those activities are logically sequenced, SOT will take this information and produce an optimised schedule. This is all also tailored to specific user inputs such as production constraints, targets and mining resources, providing you with a schedule that is both value optimised and aligned to your individual processes.

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SOT Key Features

01Produce Schedule With Highest NPV

Many mine planners are producing schedules that deliver the desirable production profile without taking into consideration the actual value of the schedule. There are often a number of possibilities that can be produced and planners usually just adopt one ‘good’ schedule. SOT takes it one step further and allows the user to produce a much larger number of these possible schedules, giving the user more options to analyse and choose from. The user will then be able to select a final schedule which is the most practical and has the highest value out of all the produced alternatives.

02Machine Learning

SOT produces schedules in sequential steps and automatically ‘learns’ at every iteration in order to continually generate maximised outputs with the highest NPVs. First, an initial set of schedules are produced using specific SOT custom heuristics. Then, SOT will start optimising the schedule by ‘crossing’ these initial schedules. The highest value schedules produced will be kept, whilst the lowest value ones will be discarded. This ‘crossing’ of schedules process will be repeated until the value ceases to increase.

03Test & Compare Scenarios

Planners can easily test and compare different scenarios, and identify bottlenecks (i.e. selecting the hoisting capacity and development rate which will deliver the best result (highest NPV).

04Other Uses

  • Comparison of different mining methods on pre-feasibility studies.
  • Potential Economic Material – Investigate the effect of different time frames for the upgrading of resource classification.
  • Financial Scenarios – Investigate the effect of pessimist and optimist financial scenarios; investigations on unit costs, mineral prices, interest rate, inflation etc.
  • Capital Investment – Smoothing capital investment profiles; assessment of different time frames for capital injection.
  • Sensitivity Analysis – NPV sensitivity to several parameters.

“It’s really beneficial for life of mine scheduling. Gives you auditable, dependable results and we’re able to run a lot of different scenarios very quickly without taking up a huge amount of time.”

-Tim Peters, Owner, Piran Mining. 

How Tim Peters, Piran Mining Uses SOT For Life Of Mine Scheduling

Watch on YouTube

Related Software

EPS

SOT integrates with EPS by receiving an EPS file as an input and also having the ability to output an EPS file once the schedule has been optimised. This compatibility between different Datamine solutions provides the most seamless user experience between different software packages.

Title screenshot of EPS Video - Creating Work Packages - with the text 'learn about EPS: Creating Work Packages
Watch on YouTube
Title screenshot of EPS Video - Creating Work Packages - with the text 'learn about EPS: Creating Work Packages Watch on YouTube

SOT integrates with EPS by receiving an EPS file as an input and also having the ability to output an EPS file once the schedule has been optimised. This compatibility between different Datamine solutions provides the most seamless user experience between different software packages.

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