Optimisation of open pit mine block sequencing

Mousavi Nogholi, Amin Alah (2015) Optimisation of open pit mine block sequencing. PhD thesis, Queensland University of Technology.


This study presents a comprehensive mathematical model for open pit mine block sequencing problem which considers technical aspects of real-life mine operations. As the open pit block sequencing problem is an NP-hard, state-of-the-art heuristics algorithms, including constructive heuristic, local search, simulated annealing, and tabu search are developed and coded using MATLAB programming language. Computational experiments show that the proposed algorithms are satisfactory to solve industrial-scale instances. Numerical investigation and sensitivity analysis based on real-world data are also conducted to provide insightful and quantitative recommendations for mine schedulers and planners.

Impact and interest:

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:

343 since deposited on 07 Oct 2015
286 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: 86697
Item Type: QUT Thesis (PhD)
Supervisor: Kozan, Erhan & Liu, Shi Qiang
Keywords: Mining, Block Sequencing, Open Pit, Optimisation, Simulated Annealing, Tabu Search, Hybrid Heuristic, Local Search, Stockpile, Heuristic
Divisions: Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 07 Oct 2015 00:27
Last Modified: 07 Oct 2015 00:27

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page