Deterministic Optimization for Short-Term Scheduling of Thin Seam Deposits With Autonomous Technologies
dc.contributor.advisor | Tenorio, Victor | |
dc.contributor.author | Palomino, Orlando | |
dc.creator | Palomino, Orlando | |
dc.date.accessioned | 2021-07-19T20:51:46Z | |
dc.date.available | 2021-07-19T20:51:46Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Palomino, Orlando. (2021). Deterministic Optimization for Short-Term Scheduling of Thin Seam Deposits With Autonomous Technologies (Master's thesis, University of Arizona, Tucson, USA). | |
dc.identifier.uri | http://hdl.handle.net/10150/660773 | |
dc.description.abstract | The extraction of thin seam mineral deposits requires to overcome several challenges due to the level of accuracy needed in order to cut layers of reduced thickness, which has a direct impact on the reserves, dilution control, and blending, therefore in the final economic results of the operation. This becomes more critical when seams are less than 40 cm. thick. A strategy based on the deployment of smart equipment, which includes autonomous Scrapers coupled with high precision Continuous Surfer Mining (CSM) machines, drones for surveying, and modern programming tools, provides a range of multiple scenarios of scheduled sequences, tailored to satisfying Processing Plant requirements. This proposed combination increases the reserve, diminishes the dilution, and improves the long-term present value of the mine. Case studies are presented with a test of the production system, a schedule algorithm, a short-term sequence code in Python, and the results for optimization using actual field data. | |
dc.language.iso | en | |
dc.publisher | The University of Arizona. | |
dc.rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author. | |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | Continuous Surface Miner | |
dc.subject | Mining | |
dc.subject | Python for Mining | |
dc.subject | Scrapers | |
dc.subject | Seam Deposits | |
dc.subject | Short-term Mining Plan | |
dc.title | Deterministic Optimization for Short-Term Scheduling of Thin Seam Deposits With Autonomous Technologies | |
dc.type | text | |
dc.type | Electronic Thesis | |
thesis.degree.grantor | University of Arizona | |
thesis.degree.level | masters | |
dc.contributor.committeemember | Kemeny, John | |
dc.contributor.committeemember | Momayez, Moe | |
dc.contributor.committeemember | Vivas, Raul Ernesto | |
thesis.degree.discipline | Graduate College | |
thesis.degree.discipline | Mining, Geological & Geophysical Engineering | |
thesis.degree.name | M.S. | |
refterms.dateFOA | 2021-07-19T20:51:46Z |