Joshi, Devendra and Ali Albahar, Marwan and Chithaluru, Premkumar and Singh, Aman and Yadav, Arvind and Miró Vera, Yini Airet UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, yini.miro@uneatlantico.es (2022) A Novel Approach to Integrating Uncertainty into a Push Re-Label Network Flow Algorithm for Pit Optimization. Mathematics, 10 (24). p. 4803. ISSN 2227-7390
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Abstract
The standard optimization of open-pit mine design and production scheduling, which is impacted by a variety of factors, is an essential part of mining activities. The metal uncertainty, which is connected to supply uncertainty, is a crucial component in optimization. To address uncertainties regarding the economic value of mining blocks and the general problem of mine design optimization, a minimum-cut network flow algorithm is employed to give the optimal ultimate pit limits and pushback designs under uncertainty. A structure that is computationally effective and can manage the joint presentation and treatment of the economic values of mining blocks under various circumstances is created by the push re-label minimum-cut technique. In this study, the algorithm is put to the test using a copper deposit and shows similarities to other stochastic optimizers for mine planning that have already been created. Higher possibilities of reaching predicted production targets are created by the algorithm’s earlier selection of more certain blocks with blocks of high value. Results show that, in comparison to a conventional approach using the same algorithm, the cumulative metal output is larger when the uncertainty in the metal content is taken into consideration. There is also an additional 10% gain in net present value.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | open-pit mine; ultimate pit limit; uncertainty modeling; minimum cut; network flow |
| Subjects: | Subjects > Engineering |
| Divisions: | Europe University of Atlantic > Research > Scientific Production Ibero-american International University > Research > Scientific Production Ibero-american International University > Research > Scientific Production |
| Depositing User: | Sr Bibliotecario |
| Date Deposited: | 02 Feb 2023 12:18 |
| Last Modified: | 11 Jul 2023 06:26 |
| URI: | http://repositorio.funiber.org/id/eprint/5679 |
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