400
the in place truck dispatching model with the MILP model. It is because the MILP model
considers the time a truck will spend in the queue in its decision making process.
5 CONCLUSIONS
A simulation and optimization framework was presented in this paper to be implemented
in the evaluation of surface mining operations. We implemented the developed framework
to evaluate the impacts of replacing an in place truck dispatching model with a new truck
dispatching model developed by authors in a surface mine case study. The new truck dispatching model was developed based on mixed integer linear programming method covering
drawbacks of currently available models. We first simulated the operation of the case study
with its in place truck dispatching model. Then, we implemented our MILP model to dispatch trucks in the simulation of the case study. Evaluation of the results shows significant
improvement in the production of the case study and performance of the operation fleet.
Production of the case study was improved by above 10%. The shovel fleet performed more
effectively, and the truck fleet was able to save 6.5% of its time in the operation.
REFERENCES
Alarie, S. & Gamache, M., 2002. Overview of Solution Strategies Used in Truck Dispatching Systems
for Open Pit Mines. International Journal of Mining, Reclamation and Environment, 16(1), pp. 59–76.
Available at: http://www.tandfonline.com/doi/abs/10.1076/ijsm.16.1.59.3408.
Askari-Nasab, H., Frimpong, S. & Szymanski, J., 2007. Modelling open pit dynamics using discrete
simulation. International Journal of Mining, Reclamation and Environment, 21(1), pp. 35–49. Available at: http://dx.doi.org/10.1080/17480930600720206.
Ataeepour, M. & Baafi, E.Y., 1999. ARENA simulation model for truck-shovel operation in despatching and non-despatching modes. International Journal of Surface Mining, Reclamation and Environment, 13(3), pp. 125–129.
Awuah-Offei, K., Temeng, V.A. & Al-Hassan, S., 2003. Predicting equipment requirements using
SIMAN simulation—a case study. Mining Technology, 112(3), pp. 180–184. Available at: http://
dx.doi.org/10.1179/037178403225003609.
Banks, J., 2001. Discrete-event System Simulation, Prentice Hall. Available at: https://books.google.ca/
books?id=NV1RAAAAMAAJ.
Bonates, E. & Lizotte, Y., 1988. A computer simulation model to evaluate the effect of dispatching.
International Journal of Surface Mining, Reclamation and Environment, 2(2), pp. 99–104.
Dindarloo, S.R., Osanloo, M. & Frimpong, S., 2015. A stochastic simulation framework for truck and
shovel selection and sizing in open pit mines., 115 (March), pp. 209–219.
Fioroni, M.M. et al., 2008. Concurrent simulation and optimization models for mining planning. Proceedings of the 40th Conference on Winter Simulation, pp. 759–767.
Forsman, B., Rönnkvist, E. & Vagenas, N., 1993. Truck dispatch computer simulation in Aitik open pit
mine. International Journal of Surface Mining, Reclamation and Environment, 7(3), pp.117–120.
Hashemi, A.S. & Sattarvand, J., 2015. Simulation Based Investigation of Different Fleet Management
Paradigms in Open Pit Mines-A Case Study of Sungun Copper Mine/Symulacje I Badania Różnych
Paradygmatów Wykorzystania Floty Pojazdów I Urządzeń W Kopalniach Odkrywkowych. Studium
Przypadku: Ko. Archives of Mining Sciences, 60(1), pp. 195–208. Available at: http://www.degruyter.
com/view/j/amsc.2015.60.issue-1/amsc-2015–0013/amsc-2015-0013.xml.
Hodkiewicz, M., Richardson, S. & Durham, R., 2010. Challenges and Opportunities for Simulation
Modelling Integrating. Australian Mining Technology Conference, 1, pp. 163–172.
Jaoua, A., Gamache, M. & Riopel, D., 2012. Specification of an intelligent simulation-based real time
control architecture: Application to truck control system. Comput. Ind., 63(9), pp. 882–894.
Jaoua, A., Riopel, D. & Gamache, M., 2012. A simulational framework for real-time fleet management
in internal transport systems. Simulational Modeling Practices and Theory 21, pp.78–90.
Kolonja, B. & Mutmansky, J.M., 1994. Analysis of truck dispatching strategies for surface mining operations using SIMAN. Transactions—Society for Mining Metallurgy And Exploration Incorporated,
296, pp. 1845–1851.
the in place truck dispatching model with the MILP model. It is because the MILP model
considers the time a truck will spend in the queue in its decision making process.
5 CONCLUSIONS
A simulation and optimization framework was presented in this paper to be implemented
in the evaluation of surface mining operations. We implemented the developed framework
to evaluate the impacts of replacing an in place truck dispatching model with a new truck
dispatching model developed by authors in a surface mine case study. The new truck dispatching model was developed based on mixed integer linear programming method covering
drawbacks of currently available models. We first simulated the operation of the case study
with its in place truck dispatching model. Then, we implemented our MILP model to dispatch trucks in the simulation of the case study. Evaluation of the results shows significant
improvement in the production of the case study and performance of the operation fleet.
Production of the case study was improved by above 10%. The shovel fleet performed more
effectively, and the truck fleet was able to save 6.5% of its time in the operation.
REFERENCES
Alarie, S. & Gamache, M., 2002. Overview of Solution Strategies Used in Truck Dispatching Systems
for Open Pit Mines. International Journal of Mining, Reclamation and Environment, 16(1), pp. 59–76.
Available at: http://www.tandfonline.com/doi/abs/10.1076/ijsm.16.1.59.3408.
Askari-Nasab, H., Frimpong, S. & Szymanski, J., 2007. Modelling open pit dynamics using discrete
simulation. International Journal of Mining, Reclamation and Environment, 21(1), pp. 35–49. Available at: http://dx.doi.org/10.1080/17480930600720206.
Ataeepour, M. & Baafi, E.Y., 1999. ARENA simulation model for truck-shovel operation in despatching and non-despatching modes. International Journal of Surface Mining, Reclamation and Environment, 13(3), pp. 125–129.
Awuah-Offei, K., Temeng, V.A. & Al-Hassan, S., 2003. Predicting equipment requirements using
SIMAN simulation—a case study. Mining Technology, 112(3), pp. 180–184. Available at: http://
dx.doi.org/10.1179/037178403225003609.
Banks, J., 2001. Discrete-event System Simulation, Prentice Hall. Available at: https://books.google.ca/
books?id=NV1RAAAAMAAJ.
Bonates, E. & Lizotte, Y., 1988. A computer simulation model to evaluate the effect of dispatching.
International Journal of Surface Mining, Reclamation and Environment, 2(2), pp. 99–104.
Dindarloo, S.R., Osanloo, M. & Frimpong, S., 2015. A stochastic simulation framework for truck and
shovel selection and sizing in open pit mines., 115 (March), pp. 209–219.
Fioroni, M.M. et al., 2008. Concurrent simulation and optimization models for mining planning. Proceedings of the 40th Conference on Winter Simulation, pp. 759–767.
Forsman, B., Rönnkvist, E. & Vagenas, N., 1993. Truck dispatch computer simulation in Aitik open pit
mine. International Journal of Surface Mining, Reclamation and Environment, 7(3), pp.117–120.
Hashemi, A.S. & Sattarvand, J., 2015. Simulation Based Investigation of Different Fleet Management
Paradigms in Open Pit Mines-A Case Study of Sungun Copper Mine/Symulacje I Badania Różnych
Paradygmatów Wykorzystania Floty Pojazdów I Urządzeń W Kopalniach Odkrywkowych. Studium
Przypadku: Ko. Archives of Mining Sciences, 60(1), pp. 195–208. Available at: http://www.degruyter.
com/view/j/amsc.2015.60.issue-1/amsc-2015–0013/amsc-2015-0013.xml.
Hodkiewicz, M., Richardson, S. & Durham, R., 2010. Challenges and Opportunities for Simulation
Modelling Integrating. Australian Mining Technology Conference, 1, pp. 163–172.
Jaoua, A., Gamache, M. & Riopel, D., 2012. Specification of an intelligent simulation-based real time
control architecture: Application to truck control system. Comput. Ind., 63(9), pp. 882–894.
Jaoua, A., Riopel, D. & Gamache, M., 2012. A simulational framework for real-time fleet management
in internal transport systems. Simulational Modeling Practices and Theory 21, pp.78–90.
Kolonja, B. & Mutmansky, J.M., 1994. Analysis of truck dispatching strategies for surface mining operations using SIMAN. Transactions—Society for Mining Metallurgy And Exploration Incorporated,
296, pp. 1845–1851.