ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

Lerchs-Grossmann 알고리즘×레인(Lane)의 절단 등급 모델×
분야광산공학광산공학
계열Process / pipelineProcess / pipeline
기원 연도19651988
창시자Helmut Lerchs and Israel GrossmannK. F. Lane
유형Graph-theoretic algorithm for pit limit optimizationEconomic optimization framework for ore classification
원전Lerchs, 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 ↗
별칭Lerchs-Grossmann Method, LG AlgorithmLane Model, Cut-off Grade Optimization, Lane's Optimization Model
관련43
요약The 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.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Lerchs-Grossmann Algorithm · Cut-off Grade (Lane). 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare