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Algoriti ya Lerchs-Grossmann×Mfumo wa Daraja la Kukata la Lane×
NyanjaUhandisi wa MadiniUhandisi wa Madini
FamiliaProcess / pipelineProcess / pipeline
Mwaka wa asili19651988
MwanzilishiHelmut Lerchs and Israel GrossmannK. F. Lane
AinaGraph-theoretic algorithm for pit limit optimizationEconomic optimization framework for ore classification
Chanzo asiliaLerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54. link ↗Lane, K. F. (1988). The economic definition of ore: cutoff grades in theory and practice. Mining Journal Books, London. link ↗
Majina mbadalaLerchs-Grossmann Method, LG AlgorithmLane Model, Cut-off Grade Optimization, Lane's Optimization Model
Zinazohusiana43
MuhtasariThe Lerchs-Grossmann Algorithm is a graph-theoretic method for determining the ultimate pit limit in open-pit mining operations. Introduced by Helmut Lerchs and Israel Grossmann in 1965, it maximizes the net present value of extracted ore while respecting slope stability constraints. This algorithm forms the theoretical foundation for most modern pit optimization software.Lane's Cut-off Grade Model, developed by Kenneth F. Lane and formalized in his 1988 book, provides a rigorous economic framework for determining the minimum grade at which ore should be mined and processed. It accounts for variable mining costs, metallurgical recovery, and commodity prices to optimize profit per unit processed. The model is foundational in mining economics and underpins daily operational decisions at thousands of mines worldwide.
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  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: Lerchs-Grossmann Algorithm · Cut-off Grade (Lane). Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare