pages 139-153

Stochastic Optimisation of Long-Term Production Scheduling for Open Pit Mines with a New Integer Programming Formulation

S Ramazan ¹

R Dimitrakopoulos ²

Hide authors affiliations Show authors affiliations: 2 affiliations

MAusIMM, Rio Tinto, Perth, Australia |

MAusIMM COSMO Laboratory, Department of Mining Metals and Materials Engineering, McGill University, Montreal, Canada |

Publication type: Book Chapter

Publication date: 2018-01-18

—

DOI: 10.1007/978-3-319-69320-0_11

Copy DOI

Abstract

Conventional approaches to optimising open pit mine design and production scheduling are based on a single estimated orebody model, which does not account for geological variability. Conditional simulation can be employed to quantitatively address the resulting grade uncertainty. Multiple simulated orebody models provide a suitable input for stochastic integer programming (SIP), a type of mathematical programming that generates the optimal result for a defined set of objectives under uncertainty. In the case of production scheduling, the objectives are to maximise the total net present value (NPV) and to minimise unsatisfied demand for processed ore. Using a set of multiple simulated orebody models as input into an SIP model allows for the integration of in situ deposit variability and uncertainty directly into the production scheduling optimisation process.

Found

Top-30

Journals

	1 2
International Journal of Mining, Reclamation and Environment	International Journal of Mining, Reclamation and Environment, 2, 10% International Journal of Mining, Reclamation and Environment 2 publications, 10%
Systems	Systems, 1, 5% Systems 1 publication, 5%
Environment, Development and Sustainability	Environment, Development and Sustainability, 1, 5% Environment, Development and Sustainability 1 publication, 5%
Resources Policy	Resources Policy, 1, 5% Resources Policy 1 publication, 5%
Mining Technology: Transactions of the Institute of Mining and Metallurgy	Mining Technology: Transactions of the Institute of Mining and Metallurgy, 1, 5% Mining Technology: Transactions of the Institute of Mining and Metallurgy 1 publication, 5%
AIP Conference Proceedings	AIP Conference Proceedings, 1, 5% AIP Conference Proceedings 1 publication, 5%
Gornye nauki i tekhnologii = Mining Science and Technology (Russia)	Gornye nauki i tekhnologii = Mining Science and Technology (Russia), 1, 5% Gornye nauki i tekhnologii = Mining Science and Technology (Russia) 1 publication, 5%
Optimization and Engineering	Optimization and Engineering, 1, 5% Optimization and Engineering 1 publication, 5%
Expert Systems with Applications	Expert Systems with Applications, 1, 5% Expert Systems with Applications 1 publication, 5%
	1 2

Publishers

	1 2 3
Taylor & Francis	Taylor & Francis, 3, 15% Taylor & Francis 3 publications, 15%
Springer Nature	Springer Nature, 2, 10% Springer Nature 2 publications, 10%
Elsevier	Elsevier, 2, 10% Elsevier 2 publications, 10%
MDPI	MDPI, 1, 5% MDPI 1 publication, 5%
Institute of Electrical and Electronics Engineers (IEEE)	Institute of Electrical and Electronics Engineers (IEEE), 1, 5% Institute of Electrical and Electronics Engineers (IEEE) 1 publication, 5%
AIP Publishing	AIP Publishing, 1, 5% AIP Publishing 1 publication, 5%
National University of Science & Technology (MISiS)	National University of Science & Technology (MISiS), 1, 5% National University of Science & Technology (MISiS) 1 publication, 5%
	1 2 3

We do not take into account publications without a DOI.
Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.

Metrics

Publisher

—