263
3rd one shown the best results, and the 1st one the worst, regarding total NPV costs. It is
important to highlight that this work is a preliminary study and, so far, only a few variables
were tested, and the next step is to implement an optimization algorithm to determine the
best schedule sequence and equipment allocation. However, it provided information that suggests the viability of MSDS method application. Besides the economic and operating aspects
analyzed in this study, it is a fact that, MSDS approach provides more time to deal with final
dump allocation assessment and selection, environmental permits, and might facilitate management, sequencing and disposal of potential acid forming (PAF) waste rocks.
REFERENCES
Askari-Nasab, H. et al. 2011. A mathematical programming model for open pit short-term production
scheduling. SME annual meeting and exhibit, 113th national western mining conference: 213–220.
Askari-Nasab, H.; Ben-Awuah, E. 2011. Integration of oil sands mine planning and waste. 35th APCOM
symposium, Wollongong, NSW, September: 24–30.
Caccetta, L.; Hill, S.P. 2003. An application of branch and cut to open pit mine scheduling. Journal of
global optimization 27: 349–365.
Dagdelen, K. 2001. Open pit optimization—strategies for improving economics of mining projects
through mine planning. Proceedings of the 17th international mining congress and exhibition of Turkey, Ankara, Turkey, June: 117–122.
González, E.; Williams, M. 2015. Using simulation to quantify uncertainty in ultimate-pit limits and
inform infrastructure placement. Mining engineering magazine, December: 49–55.
Dimitrakopoulos, R.; Martinez, L.; Ramazan, S. 2007. A maximum upside / minimum down-side
approach to the traditional optimization of open pit mine design. Journal of mining science 43(1):
81–90.
Ramazan, S. 2003. Uncertainty-based production scheduling in open pit mining. Transactions of the
institutions of mining and metallurgy, section a: mining technology 316(3): 106–112.
Espinoza, D. et al. 2013. MineLib: a library of open pit mining problems. Annals of operations re-search
206(1): 93–114.
Fu, Z.; Topal, E.; Erten, O. 2016. A modified software tool for mine waste rock dump planning. Ninth
AUSIMM open pit operator’s conference, Kalgoorlie, WA, November: 229–242.
Graskoski, S.; Craig, S.; Myburgh, C. 2013. Dynamic pit and waste dump schedule optimization at
Tropicana gold mine. World gold conference, Brisbane, QLD, September: 121–127.
Hekmat, A.; Osanloo, M.; Shirazi, A. M. 2008. New approach for selection of waste dump sites in open
pit mines. Mining technology 117(1): 24–31.
Lambert, W.B. et al. 2014. Open-pit block-sequencing formulations: a tutorial. Interfaces 44(2): 127–142.
Li, Y.; Topal, E.; Williams, D. 2012. Mathematical approach for better mine waste rock dumping management. Life of mine conference, Brisbane, QLD, July: 207–214.
Li, Y.; Topal, E.; Williams, D. 2013. Waste rock dumping optimization using mixed integer programming (mip). International journal of mining, reclamation and environment 27(6): 425–436.
Li, Y.; Topal, E.; Williams, D. 2015. A new tool for optimization of mine waste management in potential
acid forming. Tailing and mine waste management for the 21st century, Sydney, NSW, July: 333–342.
Li, Y.; Topal, E.; Ramazan, S. 2016. Optimizing the long-term mine waste management and truck schedule in a largescale open pit mine. Transactions of the institutions of mining and metallurgy, section a:
mining technology 125(1): 35–46.
Lizotte, Y.; Bonates, E. 1986. Truck/shovel dispatching rules. Society of mining engineers, McGill University, Montreal, Canada.
Ortiz, J. 2017. Methodology for a dump design optimization in large-scale open pit mines. Cogent engineering 4(1): 1–11.
Ramazan, S.; Dimitrakopoulos, R. 2013. Production scheduling with uncertain supply: a new solution
to the open pit mining problem. Optimization and engineering 14(2): 361–380.
Waqar Ali Asad, M.; Dimitrakopoulos, R. 2012. Optimal production scale of open pit mining operations with uncertain metal supply and long-term stockpiles. Resources policy 37(1): 81–89.
Zinck, J. 2004. Emerging technologies in mine waste management. Waste processing and recycling in
mineral and metallurgical industries, 5th international symposium, Hamilton, Ontario, Canada: 49–66.
3rd one shown the best results, and the 1st one the worst, regarding total NPV costs. It is
important to highlight that this work is a preliminary study and, so far, only a few variables
were tested, and the next step is to implement an optimization algorithm to determine the
best schedule sequence and equipment allocation. However, it provided information that suggests the viability of MSDS method application. Besides the economic and operating aspects
analyzed in this study, it is a fact that, MSDS approach provides more time to deal with final
dump allocation assessment and selection, environmental permits, and might facilitate management, sequencing and disposal of potential acid forming (PAF) waste rocks.
REFERENCES
Askari-Nasab, H. et al. 2011. A mathematical programming model for open pit short-term production
scheduling. SME annual meeting and exhibit, 113th national western mining conference: 213–220.
Askari-Nasab, H.; Ben-Awuah, E. 2011. Integration of oil sands mine planning and waste. 35th APCOM
symposium, Wollongong, NSW, September: 24–30.
Caccetta, L.; Hill, S.P. 2003. An application of branch and cut to open pit mine scheduling. Journal of
global optimization 27: 349–365.
Dagdelen, K. 2001. Open pit optimization—strategies for improving economics of mining projects
through mine planning. Proceedings of the 17th international mining congress and exhibition of Turkey, Ankara, Turkey, June: 117–122.
González, E.; Williams, M. 2015. Using simulation to quantify uncertainty in ultimate-pit limits and
inform infrastructure placement. Mining engineering magazine, December: 49–55.
Dimitrakopoulos, R.; Martinez, L.; Ramazan, S. 2007. A maximum upside / minimum down-side
approach to the traditional optimization of open pit mine design. Journal of mining science 43(1):
81–90.
Ramazan, S. 2003. Uncertainty-based production scheduling in open pit mining. Transactions of the
institutions of mining and metallurgy, section a: mining technology 316(3): 106–112.
Espinoza, D. et al. 2013. MineLib: a library of open pit mining problems. Annals of operations re-search
206(1): 93–114.
Fu, Z.; Topal, E.; Erten, O. 2016. A modified software tool for mine waste rock dump planning. Ninth
AUSIMM open pit operator’s conference, Kalgoorlie, WA, November: 229–242.
Graskoski, S.; Craig, S.; Myburgh, C. 2013. Dynamic pit and waste dump schedule optimization at
Tropicana gold mine. World gold conference, Brisbane, QLD, September: 121–127.
Hekmat, A.; Osanloo, M.; Shirazi, A. M. 2008. New approach for selection of waste dump sites in open
pit mines. Mining technology 117(1): 24–31.
Lambert, W.B. et al. 2014. Open-pit block-sequencing formulations: a tutorial. Interfaces 44(2): 127–142.
Li, Y.; Topal, E.; Williams, D. 2012. Mathematical approach for better mine waste rock dumping management. Life of mine conference, Brisbane, QLD, July: 207–214.
Li, Y.; Topal, E.; Williams, D. 2013. Waste rock dumping optimization using mixed integer programming (mip). International journal of mining, reclamation and environment 27(6): 425–436.
Li, Y.; Topal, E.; Williams, D. 2015. A new tool for optimization of mine waste management in potential
acid forming. Tailing and mine waste management for the 21st century, Sydney, NSW, July: 333–342.
Li, Y.; Topal, E.; Ramazan, S. 2016. Optimizing the long-term mine waste management and truck schedule in a largescale open pit mine. Transactions of the institutions of mining and metallurgy, section a:
mining technology 125(1): 35–46.
Lizotte, Y.; Bonates, E. 1986. Truck/shovel dispatching rules. Society of mining engineers, McGill University, Montreal, Canada.
Ortiz, J. 2017. Methodology for a dump design optimization in large-scale open pit mines. Cogent engineering 4(1): 1–11.
Ramazan, S.; Dimitrakopoulos, R. 2013. Production scheduling with uncertain supply: a new solution
to the open pit mining problem. Optimization and engineering 14(2): 361–380.
Waqar Ali Asad, M.; Dimitrakopoulos, R. 2012. Optimal production scale of open pit mining operations with uncertain metal supply and long-term stockpiles. Resources policy 37(1): 81–89.
Zinck, J. 2004. Emerging technologies in mine waste management. Waste processing and recycling in
mineral and metallurgical industries, 5th international symposium, Hamilton, Ontario, Canada: 49–66.