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Author Moreno, E.; Rezakhah, M.; Newman, A.; Ferreira, F.
Title Linear models for stockpiling in open-pit mine production scheduling problems Type
Year 2017 Publication European Journal Of Operational Research Abbreviated Journal Eur. J. Oper. Res.
Volume 260 Issue 1 Pages 212-221
Keywords OR in natural resources; Stockpiling; Linear and integer programming; Mine planning; Open pit mining
Abstract The open pit mine production scheduling (OPMPS) problem seeks to determine when, if ever, to extract each notional, three-dimensional block of ore and/or waste in a deposit and what to do with each, e.g., send it to a particular processing plant or to the waste dump. This scheduling model maximizes net present value subject to spatial precedence constraints, and resource capacities. Certain mines use stockpiles for blending different grades of extracted material, storing excess until processing capacity is available, or keeping low-grade ore for possible future processing. Common models assume that material in these stockpiles, or “buckets,” is theoretically immediately mixed and becomes homogeneous. We consider stockpiles as part of our open pit mine scheduling strategy, propose multiple models to solve the OPMPS problem, and compare the solution quality and tractability of these linear-integer and nonlinear-integer models. Numerical experiments show that our proposed models are tractable, and correspond to instances which can be solved in a few seconds up to a few minutes in contrast to previous nonlinear models that fail to solve. (C) 2016 Elsevier B.V. All rights reserved.
Address [Moreno, Eduardo; Ferreira, Felipe] Univ Adolfo Ibanez, Fac Sci & Engn, Avda Diagonal Torres 2700, Santiago, Chile, Email: eduardo.moreno@uai.cl;
Corporate Author Thesis
Publisher Elsevier Science Bv Place of Publication Editor (up)
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0377-2217 ISBN Medium
Area Expedition Conference
Notes WOS:000396952000018 Approved
Call Number UAI @ eduardo.moreno @ Serial 715
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