Teaching Resources

1. Traning Presentation


MiningMath - Training.pptx

2. Activities

2.1 Assignment

John is a mine planning engineer working on Marvin deposit. He’s conducting the long-term production scheduling plan and is concerned on what would be the best scenario to optimize Marvin’s operations.

The mine has some constraints, such as slope angles defined block-by-block and a default value of 45 degrees for blocks missing information. The total movement is limited to 60 Mt/yr.

Now that you know MiningMath is able to easily run multiple scenarios, you should play with the remaining parameters, evaluate the results and bring a proposal for the board. You should:

    1. Download Screencast O-Matic or equivalent screen recording software.

    2. Prepare a presentation (ppt or docx), which could be strucutured by anwering the folowing questions:

      • What is the goal of your evalution?

      • How you used MiningMath to achieve your goal? Which features were used? Which methodology was used get your results?

      • Why you have got such results?

    3. Record it as if you were reporting your analysis to the board. Upload it on YouTube as public.

    4. The video should be limited to 5 minutes.

    5. Send the link, materials, and the Marvin data used to your teacher.

2.2 Questions

  1. What are the main resources of MiningMath viewer and which are the output files?

  2. Could I consider market changes based on different ore selling prices throughout time? How?

  3. Is it possible to forbid the optimization to the access to some region? If yes, which feature could be used?

  4. Which geometric features could be used to get results accordingly with the operational needs?

  5. What are the benefits of bulding decision trees?

  6. What are the main differences between Lerchs-Grossmann/Pseudoflow and DBS methodology?

  7. What is the importance of considering a discounted cash flow on the optimization decision-making process? Does the value of the money through impact the mining sequence?

  8. Could the optimization handle multiple destinations? Over 2 processing plants? One stockpile for each with maximum capacity?

  9. Production ramp-ups could be part of the optimization constraints?

  10. Is it possible to control the average of a given variable, such as grade, haulage distance and etc.? How much properties can be controlled? Is it possible to change them over the life of mine?

  11. How the cut-off grade policy works on MiningMath?

  12. What are the main validations before running a scenario?

  13. Can MiningMath run more than one scenario simoutanesly?

  14. Which are the 3 main suggestions of the integrated workflow?

  15. Is it possible to generate a short term planning using MiningMath?