Production schedule optimisation in underground hard rock mining using mixed integer programming

M. Nehring, E. Topal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

There are presently no suitable underground mine production scheduling optimisation models available for application to sublevel stope mining. Scheduling underground production for maximum return is therefore still a manual process, which generally involves scheduling production from the next available highest cash flow stope within the operational constraints of the project. In most mining operations, the scheduling problem is too large and complex to guarantee truly optimal results through manual scheduling. This paper reviews some general optimisation studies that have been proposed for underground hard rock mining. Furthermore, an example of a mixed integer programming model is presented for a small conceptual sublevel stoping operation. Comparative results of a schedule generated by a mixed integer programming (MIP) production scheduling model and a manually generated model on a nine stope example is presented. Results indicate that the potential benefits of the MIP production scheduling model for the purpose of maximising NPV are significant. Finally, a new constraint was formulated to limit multiple exposures of fill masses for use in an existing MIP production scheduling model. Testing of the formulation took place on the central stope of the nine stope example, which showed that the formulation performed its task without breaking other operational constraints.

Original languageEnglish
Title of host publicationProject Evaluation Conference 2007 - Proceedings
Pages169-175
Number of pages7
Publication statusPublished - 2007
Externally publishedYes
EventProject Evaluation Conference 2007 - Melbourne, VIC, Australia
Duration: Jun 19 2007Jun 20 2007

Other

OtherProject Evaluation Conference 2007
CountryAustralia
CityMelbourne, VIC
Period6/19/076/20/07

Fingerprint

Integer programming
hard rock
Scheduling
Rocks
stoping
Stoping
fill
Testing

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Industrial and Manufacturing Engineering

Cite this

Nehring, M., & Topal, E. (2007). Production schedule optimisation in underground hard rock mining using mixed integer programming. In Project Evaluation Conference 2007 - Proceedings (pp. 169-175)

Production schedule optimisation in underground hard rock mining using mixed integer programming. / Nehring, M.; Topal, E.

Project Evaluation Conference 2007 - Proceedings. 2007. p. 169-175.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nehring, M & Topal, E 2007, Production schedule optimisation in underground hard rock mining using mixed integer programming. in Project Evaluation Conference 2007 - Proceedings. pp. 169-175, Project Evaluation Conference 2007, Melbourne, VIC, Australia, 6/19/07.
Nehring M, Topal E. Production schedule optimisation in underground hard rock mining using mixed integer programming. In Project Evaluation Conference 2007 - Proceedings. 2007. p. 169-175
Nehring, M. ; Topal, E. / Production schedule optimisation in underground hard rock mining using mixed integer programming. Project Evaluation Conference 2007 - Proceedings. 2007. pp. 169-175
@inproceedings{1c6b4d7b47c54df5be370e929e0c6166,
title = "Production schedule optimisation in underground hard rock mining using mixed integer programming",
abstract = "There are presently no suitable underground mine production scheduling optimisation models available for application to sublevel stope mining. Scheduling underground production for maximum return is therefore still a manual process, which generally involves scheduling production from the next available highest cash flow stope within the operational constraints of the project. In most mining operations, the scheduling problem is too large and complex to guarantee truly optimal results through manual scheduling. This paper reviews some general optimisation studies that have been proposed for underground hard rock mining. Furthermore, an example of a mixed integer programming model is presented for a small conceptual sublevel stoping operation. Comparative results of a schedule generated by a mixed integer programming (MIP) production scheduling model and a manually generated model on a nine stope example is presented. Results indicate that the potential benefits of the MIP production scheduling model for the purpose of maximising NPV are significant. Finally, a new constraint was formulated to limit multiple exposures of fill masses for use in an existing MIP production scheduling model. Testing of the formulation took place on the central stope of the nine stope example, which showed that the formulation performed its task without breaking other operational constraints.",
author = "M. Nehring and E. Topal",
year = "2007",
language = "English",
isbn = "9781920806668",
pages = "169--175",
booktitle = "Project Evaluation Conference 2007 - Proceedings",

}

TY - GEN

T1 - Production schedule optimisation in underground hard rock mining using mixed integer programming

AU - Nehring, M.

AU - Topal, E.

PY - 2007

Y1 - 2007

N2 - There are presently no suitable underground mine production scheduling optimisation models available for application to sublevel stope mining. Scheduling underground production for maximum return is therefore still a manual process, which generally involves scheduling production from the next available highest cash flow stope within the operational constraints of the project. In most mining operations, the scheduling problem is too large and complex to guarantee truly optimal results through manual scheduling. This paper reviews some general optimisation studies that have been proposed for underground hard rock mining. Furthermore, an example of a mixed integer programming model is presented for a small conceptual sublevel stoping operation. Comparative results of a schedule generated by a mixed integer programming (MIP) production scheduling model and a manually generated model on a nine stope example is presented. Results indicate that the potential benefits of the MIP production scheduling model for the purpose of maximising NPV are significant. Finally, a new constraint was formulated to limit multiple exposures of fill masses for use in an existing MIP production scheduling model. Testing of the formulation took place on the central stope of the nine stope example, which showed that the formulation performed its task without breaking other operational constraints.

AB - There are presently no suitable underground mine production scheduling optimisation models available for application to sublevel stope mining. Scheduling underground production for maximum return is therefore still a manual process, which generally involves scheduling production from the next available highest cash flow stope within the operational constraints of the project. In most mining operations, the scheduling problem is too large and complex to guarantee truly optimal results through manual scheduling. This paper reviews some general optimisation studies that have been proposed for underground hard rock mining. Furthermore, an example of a mixed integer programming model is presented for a small conceptual sublevel stoping operation. Comparative results of a schedule generated by a mixed integer programming (MIP) production scheduling model and a manually generated model on a nine stope example is presented. Results indicate that the potential benefits of the MIP production scheduling model for the purpose of maximising NPV are significant. Finally, a new constraint was formulated to limit multiple exposures of fill masses for use in an existing MIP production scheduling model. Testing of the formulation took place on the central stope of the nine stope example, which showed that the formulation performed its task without breaking other operational constraints.

UR - http://www.scopus.com/inward/record.url?scp=58049164516&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=58049164516&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781920806668

SP - 169

EP - 175

BT - Project Evaluation Conference 2007 - Proceedings

ER -