TY - GEN
T1 - Effective methods to reduce grade variability in iron ore mine operations
AU - Trouchina, Oscar Parra
AU - Topal, Erkan
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - This paper explores possible strategies to meet iron ore customer requirements (reduce variability and keep Fe% and contaminants such as Al2O3% and P% within the acceptable tolerance) by optimizing the mine plan and scheduling strategy in the rehandling process. The paper aims to obtain more homogenous iron ore grade by redesigning current rehandling strategy and creating selective Run of Mine (ROM) with defined Fe grade and contaminants tolerances in the supply chain process. A new Linear Programming Model was developed and sample data from an Iron Ore operation in Western Australia was used to conduct this analysis. The outcomes indicate that it is possible to achieve better grade results for Fe% and Al2O3% keeping required tonnage targets. Furthermore, the results reflect Low-Grade materials could play a more important role in the weekly schedule and that grade contents could balance alterations of High-Grade products. Although there are extra costs due to rehandling activities, these costs could be offset by selling more consistent products. It is an invitation to mining companies to change current strategy and focus more on the downstream and customer requirements in terms of quality product instead of just quantity.
AB - This paper explores possible strategies to meet iron ore customer requirements (reduce variability and keep Fe% and contaminants such as Al2O3% and P% within the acceptable tolerance) by optimizing the mine plan and scheduling strategy in the rehandling process. The paper aims to obtain more homogenous iron ore grade by redesigning current rehandling strategy and creating selective Run of Mine (ROM) with defined Fe grade and contaminants tolerances in the supply chain process. A new Linear Programming Model was developed and sample data from an Iron Ore operation in Western Australia was used to conduct this analysis. The outcomes indicate that it is possible to achieve better grade results for Fe% and Al2O3% keeping required tonnage targets. Furthermore, the results reflect Low-Grade materials could play a more important role in the weekly schedule and that grade contents could balance alterations of High-Grade products. Although there are extra costs due to rehandling activities, these costs could be offset by selling more consistent products. It is an invitation to mining companies to change current strategy and focus more on the downstream and customer requirements in terms of quality product instead of just quantity.
KW - Grade variability
KW - Iron ore
KW - Linear programming
KW - Rehandling
UR - https://www.scopus.com/pages/publications/85089313179
UR - https://www.scopus.com/pages/publications/85089313179#tab=citedBy
U2 - 10.1007/978-3-030-33954-8_7
DO - 10.1007/978-3-030-33954-8_7
M3 - Conference contribution
AN - SCOPUS:85089313179
SN - 9783030339531
T3 - Springer Series in Geomechanics and Geoengineering
SP - 67
EP - 74
BT - Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection, MPES 2019
A2 - Topal, Erkan
PB - Springer
T2 - 28th International Symposium on Mine Planning and Equipment Selection, MPES 2019
Y2 - 2 December 2019 through 4 December 2019
ER -