376
solution technique were then used to solve short-term production scheduling problem of
a real iron ore mine. Also, to compare the solution quality and the execution efficiency of
the heuristic technique, the same problem was also solved using IBM ILOG CPLEX. Upon
comparison it was found that, in terms of solution quality, the deviation of genetic algorithm
from CPLEX was less than 5% and it took CPLEX about 28 more hours to obtain the solution. This suggests that the proposed genetic algorithm based heuristic technique is a promising way to handle industrial scale instances of the short-term production scheduling problem
of multiple mines as larger instance would become intractable for CPLEX. Moreover, the
heuristic technique allows one to handle the non-linearity associated with the stockpiles and
to track the quality of the material sent to and reclaimed from the stockpiles in better way
than CPLEX.
REFERENCES
Askari-Nasab, H., Eivazy, H., Tabesh, M., & Badiozamani, M.M. (2011). A mathematical programming
model for open pit short-term production scheduling. In SME Annual Meeting, Denver, Colorado,
USA SME. Vol., No. Issue,(2011 of Conference) (pp. 1–8).
Bakhtavar, E., & Oraee, K. (2012). A Short-term production planning model for dimension stone
quarries. In SME Annual Meeting (pp. 241–243). Society for Mining, Metallurgy & Exploration.
Blom, M., Pearce, A.R., & Stuckey, P.J. (2018). Short-term planning for open pit mines: a review.
International Journal of Mining, Reclamation and Environment, 1–22.
Eivazy, H., & Askari-Nasab, H. (2012). A mixed integer linear programming model for short-term open
pit mine production scheduling. Mining Technology, 121(2), 97–108.
Kumar, A., & Chatterjee, S. (2016). Open-pit coal mine production sequencing incorporating grade
blending and stockpiling options: An application from an Indian mine. Engineering Optimization,
273(December), 1–15.
Matamoros, M.E.V., & Dimitrakopoulos, R. (2016). Stochastic short-term mine production schedule
accounting for fleet allocation, operational considerations and blending restrictions. European
Journal of Operational Research, 255(3), 911–921.
Morales, N., & Reyes, P. (2016). Increasing the value and feasibility of open pit plans by integrating
the mining system into the planning process. Journal of the Southern African Institute of Mining and
Metallurgy, 116(7), 663–672.
Mousavi, A., Kozan, E., & Liu, S.Q. (2014). Integrated approach to optimize open-pit mine block
sequencing. Industrial Engineering Non-Traditional Applications in International Settings, 83–98.
Mousavi, A., Kozan, E., & Liu, S.Q. (2016). Open-pit block sequencing optimization: a mathematical
model and solution technique. Engineering Optimization, 48(11), 1932–1950.
Smith, M. (1998). Optimizing short-term production schedules in surface mining: Integrating mine
modeling software with AMPL/CPLEX. International Journal of Surface Mining, Reclamation and
Environment, 12(4), 149–155.
Sundar, D.K., & Acharya, D. (1995). Blast schedule planning and shiftwise production scheduling of an
open cast iron ore mine. Computers and Industrial Engineering, 28(4), 927–935.
solution technique were then used to solve short-term production scheduling problem of
a real iron ore mine. Also, to compare the solution quality and the execution efficiency of
the heuristic technique, the same problem was also solved using IBM ILOG CPLEX. Upon
comparison it was found that, in terms of solution quality, the deviation of genetic algorithm
from CPLEX was less than 5% and it took CPLEX about 28 more hours to obtain the solution. This suggests that the proposed genetic algorithm based heuristic technique is a promising way to handle industrial scale instances of the short-term production scheduling problem
of multiple mines as larger instance would become intractable for CPLEX. Moreover, the
heuristic technique allows one to handle the non-linearity associated with the stockpiles and
to track the quality of the material sent to and reclaimed from the stockpiles in better way
than CPLEX.
REFERENCES
Askari-Nasab, H., Eivazy, H., Tabesh, M., & Badiozamani, M.M. (2011). A mathematical programming
model for open pit short-term production scheduling. In SME Annual Meeting, Denver, Colorado,
USA SME. Vol., No. Issue,(2011 of Conference) (pp. 1–8).
Bakhtavar, E., & Oraee, K. (2012). A Short-term production planning model for dimension stone
quarries. In SME Annual Meeting (pp. 241–243). Society for Mining, Metallurgy & Exploration.
Blom, M., Pearce, A.R., & Stuckey, P.J. (2018). Short-term planning for open pit mines: a review.
International Journal of Mining, Reclamation and Environment, 1–22.
Eivazy, H., & Askari-Nasab, H. (2012). A mixed integer linear programming model for short-term open
pit mine production scheduling. Mining Technology, 121(2), 97–108.
Kumar, A., & Chatterjee, S. (2016). Open-pit coal mine production sequencing incorporating grade
blending and stockpiling options: An application from an Indian mine. Engineering Optimization,
273(December), 1–15.
Matamoros, M.E.V., & Dimitrakopoulos, R. (2016). Stochastic short-term mine production schedule
accounting for fleet allocation, operational considerations and blending restrictions. European
Journal of Operational Research, 255(3), 911–921.
Morales, N., & Reyes, P. (2016). Increasing the value and feasibility of open pit plans by integrating
the mining system into the planning process. Journal of the Southern African Institute of Mining and
Metallurgy, 116(7), 663–672.
Mousavi, A., Kozan, E., & Liu, S.Q. (2014). Integrated approach to optimize open-pit mine block
sequencing. Industrial Engineering Non-Traditional Applications in International Settings, 83–98.
Mousavi, A., Kozan, E., & Liu, S.Q. (2016). Open-pit block sequencing optimization: a mathematical
model and solution technique. Engineering Optimization, 48(11), 1932–1950.
Smith, M. (1998). Optimizing short-term production schedules in surface mining: Integrating mine
modeling software with AMPL/CPLEX. International Journal of Surface Mining, Reclamation and
Environment, 12(4), 149–155.
Sundar, D.K., & Acharya, D. (1995). Blast schedule planning and shiftwise production scheduling of an
open cast iron ore mine. Computers and Industrial Engineering, 28(4), 927–935.