In general the iron ore industry has been slow to adopt the Whittle Pit optimising software in the evaluation of iron ore deposits. The reasons for this are two-fold: the iron ore industry has developed techniques, usually bespoke software residing in the corporate offices of the respective iron ore companies, to establish their final pit limits; and the fact that the Whittle software doesn't easily lend itself to estimating a sales product of constant quality without maximising grade (metal content)._x000D_
The Whittle software is based on the work done by Lerch and Grossman (in the early 1970s), which proposed that graph theory be used to establish an optimal surface that maximises the revenue from a deposit. The maximised surface created in the pit optimiser is translated into a proposed optimal final pit shape that can be used by the mine design engineers as a target outline to lay out the final practical pit._x000D_
By treating a geological and ore resources model that was created for an iron ore deposit as a subset of the recoverable resources estimation (RRE) type of geological models, the evaluation of an iron ore deposit and establishing the final pit is greatly simplified in the Whittle 4-X optimiser._x000D_
Instead of trying to optimise the iron content of the deposit, the emphasis swings to maximising the extraction of a finished and saleable iron ore product. This is achieved by treating the finished saleable iron ore as an element in the multi-element Whittle optimiser. The quality of the finished sales product is represented, and the material that cannot be used in the blended product is also shown._x000D_
Proposals for enhancing the functionality in the Whittle 4-X optimiser to make the evaluation of iron (and coal) deposits easier includes the creation of a new reporting function that will allow the user to specify which field(s) can be used as the divisor(s) for the reporting of the element grades in the model.