Designing an optimal stope layout for underground mining based on a heuristic algorithm

Don Suneth Sameera Sandanayake, Erkan Topal, Mohammad Waqar Ali Asad

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

An optimal layout or three-dimensional spatial distribution of stopes guarantees the maximum profitability over life span of an underground mining operation. Thus, stope optimization is one of the key areas in underground mine planning practice. However, the computational complexity in developing an optimal stope layout has been a reason for limited availability of the algorithms offering solution to this problem. This article shares a new and efficient heuristic algorithm that considers a three-dimensional ore body model as an input, maximizes the economic value, and satisfies the physical mining and geotechnical constraints for generating an optimal stope layout. An implementation at a copper deposit demonstrates the applicability and robustness of the algorithm. A parallel processing based modification improving the performance of the original algorithm in terms of enormous computational time saving is also presented.
Original languageEnglish
Pages (from-to)767-772
Number of pages6
JournalInternational Journal of Mining Science and Technology
Volume25
Issue number5
DOIs
Publication statusPublished - Sep 1 2015

Fingerprint

Heuristic algorithms
heuristics
Copper deposits
Spatial distribution
Ores
planning practice
Computational complexity
Profitability
ore body
profitability
Availability
Planning
Economics
spatial distribution
Processing
copper
economics

Keywords

  • Heuristic algorithm
  • Stope optimization
  • Underground mine planning
  • Underground mining

Cite this

Designing an optimal stope layout for underground mining based on a heuristic algorithm. / Sandanayake, Don Suneth Sameera; Topal, Erkan; Asad, Mohammad Waqar Ali.

In: International Journal of Mining Science and Technology, Vol. 25, No. 5, 01.09.2015, p. 767-772.

Research output: Contribution to journalArticle

Sandanayake, Don Suneth Sameera ; Topal, Erkan ; Asad, Mohammad Waqar Ali. / Designing an optimal stope layout for underground mining based on a heuristic algorithm. In: International Journal of Mining Science and Technology. 2015 ; Vol. 25, No. 5. pp. 767-772.
@article{7b868c660b3242ab9c8c073c5ca24a3f,
title = "Designing an optimal stope layout for underground mining based on a heuristic algorithm",
abstract = "An optimal layout or three-dimensional spatial distribution of stopes guarantees the maximum profitability over life span of an underground mining operation. Thus, stope optimization is one of the key areas in underground mine planning practice. However, the computational complexity in developing an optimal stope layout has been a reason for limited availability of the algorithms offering solution to this problem. This article shares a new and efficient heuristic algorithm that considers a three-dimensional ore body model as an input, maximizes the economic value, and satisfies the physical mining and geotechnical constraints for generating an optimal stope layout. An implementation at a copper deposit demonstrates the applicability and robustness of the algorithm. A parallel processing based modification improving the performance of the original algorithm in terms of enormous computational time saving is also presented.",
keywords = "Heuristic algorithm, Stope optimization, Underground mine planning, Underground mining",
author = "Sandanayake, {Don Suneth Sameera} and Erkan Topal and Asad, {Mohammad Waqar Ali}",
year = "2015",
month = "9",
day = "1",
doi = "10.1016/j.ijmst.2015.07.011",
language = "English",
volume = "25",
pages = "767--772",
journal = "International Journal of Mining Science and Technology",
issn = "2095-2686",
publisher = "Elsevier",
number = "5",

}

TY - JOUR

T1 - Designing an optimal stope layout for underground mining based on a heuristic algorithm

AU - Sandanayake, Don Suneth Sameera

AU - Topal, Erkan

AU - Asad, Mohammad Waqar Ali

PY - 2015/9/1

Y1 - 2015/9/1

N2 - An optimal layout or three-dimensional spatial distribution of stopes guarantees the maximum profitability over life span of an underground mining operation. Thus, stope optimization is one of the key areas in underground mine planning practice. However, the computational complexity in developing an optimal stope layout has been a reason for limited availability of the algorithms offering solution to this problem. This article shares a new and efficient heuristic algorithm that considers a three-dimensional ore body model as an input, maximizes the economic value, and satisfies the physical mining and geotechnical constraints for generating an optimal stope layout. An implementation at a copper deposit demonstrates the applicability and robustness of the algorithm. A parallel processing based modification improving the performance of the original algorithm in terms of enormous computational time saving is also presented.

AB - An optimal layout or three-dimensional spatial distribution of stopes guarantees the maximum profitability over life span of an underground mining operation. Thus, stope optimization is one of the key areas in underground mine planning practice. However, the computational complexity in developing an optimal stope layout has been a reason for limited availability of the algorithms offering solution to this problem. This article shares a new and efficient heuristic algorithm that considers a three-dimensional ore body model as an input, maximizes the economic value, and satisfies the physical mining and geotechnical constraints for generating an optimal stope layout. An implementation at a copper deposit demonstrates the applicability and robustness of the algorithm. A parallel processing based modification improving the performance of the original algorithm in terms of enormous computational time saving is also presented.

KW - Heuristic algorithm

KW - Stope optimization

KW - Underground mine planning

KW - Underground mining

U2 - 10.1016/j.ijmst.2015.07.011

DO - 10.1016/j.ijmst.2015.07.011

M3 - Article

VL - 25

SP - 767

EP - 772

JO - International Journal of Mining Science and Technology

JF - International Journal of Mining Science and Technology

SN - 2095-2686

IS - 5

ER -