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- W137202152 abstract "In this paper, we study the problem of truck and loader equipment selection for surface mines, where we wish to select the best truck and loader fleet for a multi-period mining schedule. In particular, we look at the costing aspect of this problem. The operating cost is known to dominate the overall cost of materials handling over time. When performing equipment selection, we can best account for the operating cost by considering the number of hours that the equipment has been utilised. In a surface mine, equipment is often not utilised to full capacity and not accounting for this difference may lead to inferior solutions. Generally, the cost of operating equipment depends on the age of that equipment, while the decision to use a piece of equipment or not is based on the cost. This co-dependency of the age and utilisation of the equipment has so far provided a barrier to tractable equipment selection models. In the mining industry, it is a common practice to discretise both the age of the equipment and the current time into discrete blocks. However, since the running cost of a piece of equipment depends on its age, an undesirable side-effect of this discretisation is that the cost of operating a piece of equipment over a given time period must be determined by its age at the start of that period. It would be more accurate to account for changes in the age of the equipment as time passes within the period. In this paper, we present a way in which we can capture the effect of these changes, using linear constraints and adjustments to the objective function. These constraints and adjustments are intended to be added to a mixed-integer linear program for equipment selection, which accounts for equipment utilisation, pre-existing equipment and heterogeneous fleets. However, with these additions this mixed-integer programming model requires further work to achieve tractability in large-scale case studies." @default.
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- W137202152 date "2009-01-01" @default.
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- W137202152 title "Accurate costing in mixed integer utilisation mining models" @default.
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