A variable neighbourhood descent algorithm for the open-pit mine production scheduling problem with metal uncertainty

Amina Lamghari, Roussos Dimitrakopoulos and Jacques A Ferland
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Amina Lamghari: McGill University, Quebec, Canada
Roussos Dimitrakopoulos: McGill University, Quebec, Canada
Jacques A Ferland: University of Montreal, Quebec, Canada

Journal of the Operational Research Society, 2014, vol. 65, issue 9, 1305-1314

Abstract: Uncertainty is an inherent aspect of the open-pit mine production scheduling problem (MPSP); however, little is reported in the literature about solution methods for the stochastic versions of the problem. In this paper, two variants of a variable neighbourhood descent algorithm are proposed for solving the MPSP with metal uncertainty. The proposed methods are tested and compared on actual large-scale instances, and very good solutions, with an average deviation of less than 3% from optimality, are obtained within a few minutes up to a few hours.

Date: 2014
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