ScholarGate
Assistant

Comparer des méthodes

Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.

Modèle de seuil de teneur de Lane×Algorithme de Lerchs-Grossmann×
DomaineGénie minierGénie minier
FamilleProcess / pipelineProcess / pipeline
Année d'origine19881965
Auteur d'origineK. F. LaneHelmut Lerchs and Israel Grossmann
TypeEconomic optimization framework for ore classificationGraph-theoretic algorithm for pit limit optimization
Source fondatriceLane, 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 ↗
AliasLane Model, Cut-off Grade Optimization, Lane's Optimization ModelLerchs-Grossmann Method, LG Algorithm
Apparentées34
RésuméLane'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.
ScholarGateJeu de données
  1. v1
  2. 2 Sources
  3. PUBLISHED
  1. v1
  2. 2 Sources
  3. PUBLISHED

Aller à la recherche Télécharger les diapositives

ScholarGateComparer des méthodes: Cut-off Grade (Lane) · Lerchs-Grossmann Algorithm. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare