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Conference Proceedings

Mine Planning and Equipment Selection (MPES) 2010

Conference Proceedings

Mine Planning and Equipment Selection (MPES) 2010

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A Review of the Theory and Application of Multi-Criteria Decision Analysis Techniques in Mine Planning

Mine planning includes equipment selection as a subprocess because aging equipment must be replaced to maintain or improve productivity levels. The criteria used for decision-making in mine planning and equipment selection are often inextricably linked and inherently contradictory. For example, financial wisdom demands that development, which is an expense and locks up capital, be deferred as far into the future as possible yet on the contrary technical knowledge suggests that developing well ahead of stoping is practically desirable because it generates additional geological information required to improve planning of the unmined portion of the orebody and create better operating flexibility. Consequently, mine planning professionals have to delicately balance all decision criteria when executing mine planning in order to achieve optimal mineral extraction or when selecting equipment, so that capital is optimally deployed. These two processes can therefore be characterised as belonging to the multi-criteria decision analysis (MCDA) type of problems. MCDA problems are alternatively referred to as multiple attribute decision-making (MADM) problems and belong to a broader group of problems called multi-criteria decision-making (MCDM). There is now a gradual recognition and application of MCDA techniques in the minerals industry. This paper explores the theory, current and potential application of these techniques in decision-making in the minerals industry._x000D_
FORMAL CITATION:Musingwini, C, 2010. A review of the theory and application of multi-criteria decision analysis techniques in mine planning, in Proceedings Mine Planning and Equipment Selection (MPES) 2010, pp 129-140 (The Australasian Institute of Mining and Metallurgy: Melbourne).
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  • Published: 2010
  • PDF Size: 0.192 Mb.
  • Unique ID: P201011016

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