Strategies to assist in obtaining an optimal solution for an underground mine planning problem using Mixed Integer Programming

Jade Little, Erkan Topal

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Mixed Integer Programming (MIP) models are recognised as possessing the ability to optimise underground mine planning. However,MIP's use for optimising underground mine planning has often been restricted to problems of certain sizes and/or simplicity. This is because the number of variables and complex constraints in MIP formulations influences the model'sability to generate optimal results. This paper reviews optimisation studies, focusing on model reduction approaches, which employ MIP techniques for simultaneous optimisation of stope layouts and underground production scheduling. Four theories are presented to reduce the number of variables and complex constraints without comprising its mathematical integrity.

Original languageEnglish
Pages (from-to)152-172
Number of pages21
JournalInternational Journal of Mining and Mineral Engineering
Volume3
Issue number2
DOIs
Publication statusPublished - Sep 2011
Externally publishedYes

Fingerprint

Integer programming
Planning
Scheduling
planning

Keywords

  • Large scale optimisation
  • Mathematical programming application
  • Model size reduction
  • Underground mine planning

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Industrial and Manufacturing Engineering

Cite this

Strategies to assist in obtaining an optimal solution for an underground mine planning problem using Mixed Integer Programming. / Little, Jade; Topal, Erkan.

In: International Journal of Mining and Mineral Engineering, Vol. 3, No. 2, 09.2011, p. 152-172.

Research output: Contribution to journalArticle

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