Print Email Facebook Twitter Stochastic analysis of dig limit optimization using simulated annealing Title Stochastic analysis of dig limit optimization using simulated annealing Author van Duijvenbode, J.R. (TU Delft Resource Engineering) Soleymani Shishvan, M. (TU Delft Resource Engineering) Date 2022-12 Abstract The results of dig limit delineation in open pit mining are never truly optimized due to gaps in the underlying data, such as insufficient sampling. Aside from the data uncertainty, there is also an influence on the final dig limit by either humans or by the heuristic character of an optimization method like simulated annealing. Several dig limit optimizers have been published, which can replace the manual dig-limits designing process. However, these dig limit designs are generally not adapted to account for this heuristic character. In this paper we present a stochastic analysis tool that can be used with the results of heuristic dig-limit optimization to increase confidence in the obtained results. First, an enhanced simulated annealing algorithm for dig limit optimization is presented. Then, this algorithm is tested on ten different blasts at the Marigold mine, Nevada, USA, as a case study. Finally, the results are analysed with a destination-based ensemble probability map and an analysis conducted of the final solution data distribution. The generated dig-limit designs of the algorithm include high revenue areas that are excluded in comparable manual designs and show improved objective and revenue values. The analysis tool provides block destination probabilities and box plots with the distribution of opportunity value for the dig limit. Furthermore, with the analysis tool, it is possible to make well-informed design decisions in areas of uncertainty. Subject open-pit miningdig-limit optimizationsimulated annealinggrade control To reference this document use: http://resolver.tudelft.nl/uuid:9d17c085-fc24-4a7a-bad2-c41fd3bfd21f DOI https://doi.org/10.17159/2411-9717/1036/2022 ISSN 2411-9717 Source Journal of the Southern African Institute of Mining and Metallurgy, 122 (12), 715-724 Part of collection Institutional Repository Document type journal article Rights © 2022 J.R. van Duijvenbode, M. Soleymani Shishvan Files PDF 08.pdf 1.59 MB Close viewer /islandora/object/uuid:9d17c085-fc24-4a7a-bad2-c41fd3bfd21f/datastream/OBJ/view