Some papers have already performed some sort of comparisons between MiningMath and other technologies. For example here and here. Such studies provide valuable information to the community in order to understand which technologies work better in each case. So, the addition of new comparisons can always be beneficial. Some questions that could be analysed between different technologies include:
- How is the number of scheduling periods defined? Trial and error or as part
of the optimization?
- Could this methodology optimize a model with +10M blocks?
- Could this approach work with LOM (life of mine) longer than 30 years?
- Could this the optimization handle multiple destinations? Over 2 processing
streams? One stockpile for each with maximum capacity?
- Production ramp-ups could be part of the optimization constraints?
- Is it possible to control the average of a given variable, such as grade? How
much properties can be controlled? Is it possible to change them over the life
- Is it possible to use additive constraints, to control the energy spent on
comminution? How much properties can be controlled in this case? Is it
possible to change them over the life of mine?
- Could slopes be defined by lithology? Will this information be a constraint
within the optimization framework?
- Are the slope angles being respected, mainly in transition zones?
- Is it possible to incorporate into the optimization 1 restricted area up to, for
example, year 10, then allow mining in that region?
- Is it a stand-alone software, or third-party optimizers such as Gurobi/CPLEX
should be bought separately?