Direct block scheduling technology : analysis of avidity.
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2018
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This study is focused on Direct Block Scheduling testing (Direct Multi-Period
Scheduling methodology) which schedules mine production considering the correct
discount factor of each mining block, resulting in the final pit. Each block is analyzed
individually in order to define the best target period. This methodology presents an
improvement of the classical methodology derived from Lerchs-Grossmann’s initial
proposition improved by Whittle. This paper presents the differences between these
methodologies, specially focused on the algorithms’ avidity. Avidity is classically defined
by the voracious search algorithms, whereupon some of the most famous greedy
algorithms are Branch and Bound, Brutal Force and Randomized. Strategies based on
heuristics can accentuate the voracity of the optimizer system. The applied algorithm
use simulated annealing combined with Tabu Search. The most avid algorithm can
select the most profitable blocks in early periods, leading to higher present value in the
first periods of mine operation. The application of discount factors to blocks on the
Lerchs-Grossmann’s final pit has an accentuated effect with time, and this effect may
make blocks scheduled for the end of the mine life unfeasible, representing a trend to
a decrease in reported reserves.
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Mine planning, Avidity optimization, Simulated annealing, Tabu search
Citação
SOUZA, F. R. et al. Direct block scheduling technology : analysis of avidity. REM - International Engineering Journal, v. 71, p. 97-104, 2018. Disponível em: <http://www.scielo.br/scielo.php?pid=S2448-167X2018000100097&script=sci_abstract&tlng=en>. Acesso em: 12 fev. 2019.