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Lerchs-Grossmann 算法×Lane 的边际品位模型×
领域采矿工程采矿工程
方法族Process / pipelineProcess / pipeline
起源年份19651988
提出者Helmut Lerchs and Israel GrossmannK. F. Lane
类型Graph-theoretic algorithm for pit limit optimizationEconomic optimization framework for ore classification
开创性文献Lerchs, 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 ↗
别名Lerchs-Grossmann Method, LG AlgorithmLane Model, Cut-off Grade Optimization, Lane's Optimization Model
相关43
摘要The 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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ScholarGate方法对比: Lerchs-Grossmann Algorithm · Cut-off Grade (Lane). 于 2026-06-17 检索自 https://scholargate.app/zh/compare