Open-pit block sequencing optimization: A mathematical model and solution technique


Autoria(s): Mousavi, Amin; Kozan, Erhan; Liu, Shi Qiang
Data(s)

18/02/2016

Resumo

This study presents a comprehensive mathematical formulation model for a short-term open-pit mine block sequencing problem, which considers nearly all relevant technical aspects in open-pit mining. The proposed model aims to obtain the optimum extraction sequences of the original-size (smallest) blocks over short time intervals and in the presence of real-life constraints, including precedence relationship, machine capacity, grade requirements, processing demands and stockpile management. A hybrid branch-and-bound and simulated annealing algorithm is developed to solve the problem. Computational experiments show that the proposed methodology is a promising way to provide quantitative recommendations for mine planning and scheduling engineers.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/93107/

Publicador

Taylor & Francis Ltd.

Relação

http://eprints.qut.edu.au/93107/1/MosaviKozanLiu_EO%20paper_QUTEPrint.pdf

DOI:10.1080/0305215X.2016.1142080

Mousavi, Amin, Kozan, Erhan, & Liu, Shi Qiang (2016) Open-pit block sequencing optimization: A mathematical model and solution technique. Engineering Optimization. (In Press)

CRC ORE/P3B-023_Q22013

Direitos

Copyright 2016 Taylor & Francis

Fonte

School of Mathematical Sciences; Science & Engineering Faculty

Palavras-Chave #010206 Operations Research #091405 Mining Engineering #mine optimization #block sequencing #hybrid heuristic #simulated annealing
Tipo

Journal Article