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

, , & (2016) Open-pit block sequencing optimization: A mathematical model and solution technique. Engineering Optimization, 48(11), pp. 1932-1950.

[img]
Preview
Accepted Version (PDF 669kB)
MosaviKozanLiu_EO paper_QUTEPrint.pdf.

View at publisher

Description

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.

Impact and interest:

43 citations in Scopus
28 citations in Web of Science®
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

290 since deposited on 22 Feb 2016
39 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 93107
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Kozan, Erhanorcid.org/0000-0002-3208-702X
Measurements or Duration: 19 pages
Keywords: block sequencing, hybrid heuristic, mine optimization, simulated annealing
DOI: 10.1080/0305215X.2016.1142080
ISSN: 1029-0273
Pure ID: 33025052
Divisions: Past > Institutes > Institute for Future Environments
Past > QUT Faculties & Divisions > Science & Engineering Faculty
Current > Schools > School of Mathematical Sciences
Copyright Owner: Consult author(s) regarding copyright matters
Copyright Statement: This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
Deposited On: 22 Feb 2016 00:50
Last Modified: 27 Jun 2024 08:59