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 language | English |
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Pages (from-to) | 152-172 |
Number of pages | 21 |
Journal | International Journal of Mining and Mineral Engineering |
Volume | 3 |
Issue number | 2 |
DOIs | |
Publication status | Published - Sept 2011 |
Externally published | Yes |
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