Methodology: Preliminaries and background
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© 2018, Springer International Publishing AG. This chapter presents the basic concepts that are needed to develop mathematical models for the equipment selection problem in mining. These concepts include truck cycle time and a number of productivity measures for both trucks and loaders. The match factor, which is defined as the ratio of truck arrival rate to loader service time, is an important productivity indicator for trucks and loaders. The objective of the truck-loader optimisation problem is to minimise cost. So an important task in modelling is to establish an effective cost model. Equipment cost is dependent on many factors including purchase and salvage costs, maintenance costs and operating costs. In addition to providing some necessary background to equipment selection in mining, this chapter also provides a brief introduction to Linear and Integer Programming. Mixed Integer Linear Programming models provide the best option to accurately model and address the difficult equipment selection problems.
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Burt, Christina Naomi (2008)In the surface mining industry the equipment selection problem involves choosing a fleet of trucks and loaders that have the capacity to move the materials specified in the mine plan. The optimisation problem is to select ...
Hardy, Raymond J (2007)Methods for estimating productivity and costs, and dependent equipment selection process, have needed to be increasingly reliable. Estimated productivity and costs must be as accurate as possible in reflecting actual ...
Burt, C.; Caccetta, Louis (2018)© 2018, Springer International Publishing AG. In a simple surface mining scenario we can consider the mine to have one mining location and one dump-site connected by a single truck route. Our objective is to determine a ...