One of the unavoidable steps for the next generation of Data Science and Artificial Intelligence technologies applied to mining


Fake Destinations

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Fake destinations are an artifice to do some workarounds that cover variations (over time) in the recovery, ore pricecosts, or combining everything, economic functions. Besides, fake destinations might be used to manually separate material of different qualities into different stockpiles, for example.

There are two possibilities when considering fake destinations:

  • Considering all (fake) destinations as part of the same one.

    • Real Plant throughput: 15 Mt/year.
    • Fake Plant A throughput: 15 Mt/year.
    • Fake Plant B throughput: 15 Mt/year.
Figure 1: Considering all (fake) destinations as part of the same one.
  • Considering all (fake) destinations as the entire and non-coexisting plant.

Figure 2: Considering all (fake) destinations as the entire and non-coexisting plant.

Price Fluctuation

In the case of defining scenarios of price fluctuation, different ore prices for the same material should not coexist. Thus, each plant will use a specific function but will represent the same one in reality.

  • In the following example, columns CU_1 and CU_1.2 represent the economic values considering the default price for copper and an increase of 20% in this default price.

Figure 3: Economic values considering the default price for copper and an increase of 20% in this default price.
  • The main point here is the fact that these circumstances cannot coexist.

  • On the Production tab, add and define Period Ranges in which each function will exist.

  • Then, when Process 1 (CU_1) is active, use the proper production limit for it. For the other(s), define a production of zero in the same period.

  • Repeat this logic for any other period range you need.

  • The image below gives a clear example of it.

Figure 4: Example of price fluctuation.

Fake Stockpiles: manually separating blocks of different qualities

This topic deserves a separate page due to its particularities.


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