Optimizing open-pit block scheduling with exposed ore reserve
Author
dc.contributor.author
Saavedra Rosas, J.
Author
dc.contributor.author
Jelvez, E.
Author
dc.contributor.author
Amaya, J.
Author
dc.contributor.author
Morales, N.
Admission date
dc.date.accessioned
2018-03-06T15:14:33Z
Available date
dc.date.available
2018-03-06T15:14:33Z
Publication date
dc.date.issued
2016-07
Cita de ítem
dc.identifier.citation
Journal of the Southern African Institute of Mining and Metallurgy Volume: 116 Issue: 7 Pages: 655-662
es_ES
Identifier
dc.identifier.other
10.17159/2411-9717/2016/v116n7a7
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/146710
Abstract
dc.description.abstract
A crucial problem in the open pit mining industry is to determine the optimal block scheduling, defining how the orebody will be sequenced for exploitation. An orebody is often comprised of several thousand or million blocks and the scheduling models for this structure are very complex, giving rise to very large combinatorial linear problems. Operational mine plans are usually produced on a yearly basis and further scheduling is attempted to provide monthly, weekly, and daily schedules. A portion of the ore reserve is said to be exposed if it is readily available for extraction at the start of the period. In this paper, an integer programming (IP) model is presented to generate pit designs under exposed ore reserve requirements, as an extension of the classical optimization models for mine planning. For this purpose, we introduce a set of new binary variables, representing which blocks can be declared as exposed ore reserve, in addition to the extraction and processing decisions. The model has been coded and tested in a set of standard instances, showing very encouraging results in the generation of operational block schedules.