ScholarGate
Avustaja

Vertaile menetelmiä

Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.

Lane's Cut-off Grade Model×Lerchs-Grossmannin algoritmi×
TieteenalaKaivostekniikkaKaivostekniikka
MenetelmäperheProcess / pipelineProcess / pipeline
Syntyvuosi19881965
KehittäjäK. F. LaneHelmut Lerchs and Israel Grossmann
TyyppiEconomic optimization framework for ore classificationGraph-theoretic algorithm for pit limit optimization
AlkuperäislähdeLane, K. F. (1988). The economic definition of ore: cutoff grades in theory and practice. Mining Journal Books, London. link ↗Lerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54. link ↗
RinnakkaisnimetLane Model, Cut-off Grade Optimization, Lane's Optimization ModelLerchs-Grossmann Method, LG Algorithm
Liittyvät34
TiivistelmäLane'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.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.
ScholarGateAineisto
  1. v1
  2. 2 Lähteet
  3. PUBLISHED
  1. v1
  2. 2 Lähteet
  3. PUBLISHED

Siirry hakuun Lataa diat

ScholarGateVertaile menetelmiä: Cut-off Grade (Lane) · Lerchs-Grossmann Algorithm. Haettu 2026-06-17 osoitteesta https://scholargate.app/fi/compare