![](bg9.png)
that is more precise than the current approaches.
In our further research, we will develop a sim-
ulated open-pit mine. In the simulation, the simu-
lated trucks will perform the operations pointed out
in their schedules. In addition, the dynamic aspects
of the material handling process will be considered,
e.g., dealing with a major change in the mine such as
equipment failures or changes in the mine layout. In
these cases, the affected agents will have to react ap-
propriately, interacting with each other to update their
schedules.
REFERENCES
Ahangaran, D. K., Yasrebi, A. B., Wetherelt, A., and Foster,
P. (2012). Real –time dispatching modelling for trucks
with different capacities in open pit mines. Archives
of Mining Sciences, 57(1):39–52.
Alarie, S. and Gamache, M. (2002). Overview of Solu-
tion Strategies Used in Truck Dispatching Systems
for Open Pit Mines. International Journal of Surface
Mining, Reclamation and Environment, 16(1):59–76.
Alexandre, R. F., Campelo, F., Fonseca, C. M., and de Vas-
concelos, J. A. (2015). A Comparative Study of
Algorithms for Solving the Multiobjective Open-Pit
Mining Operational Planning Problems. In Inter-
national Conference on Evolutionary Multi-Criterion
Optimization, volume 9019, pages 433–447.
Bastos, G. S., Souza, L. E., Ramos, F. T., and Ribeiro, C.
H. C. (2011). A single-dependent agent approach for
stochastic time-dependent truck dispatching in open-
pit mining. In 14th International IEEE Conference
on Intelligent Transportation Systems (ITSC), pages
1057–1062.
Bellifemine, F., Caire, G., and Greenwood, D. (2007). De-
veloping Multi-Agent Systems with JADE.
Chang, Y., Ren, H., and Wang, S. (2015). Modelling and
optimizing an open-pit truck scheduling problem. Dis-
crete Dynamics in Nature and Society, 2015.
Chen, B. and Cheng, H. H. (2010). A review of the applica-
tions of agent technology in traffic and transportation
systems.
Costa, F. P. D., Souza, M. J. F., and Pinto, L. R. (2005). Um
modelo de programac¸
˜
ao matem
´
atica para alocac¸
˜
ao
est
´
atica de caminh
˜
oes visando ao atendimento de
metas de produc¸
˜
ao e qualidade. Rem: Revista Escola
de Minas, 58(1):77–81.
Ercelebi, S. G. and Bascetin, A. (2009). Optimization of
shovel-truck system for surface mining. Journal of the
Southern African Institute of Mining and Metallurgy,
109(7):433–439.
Fischer, K., M
¨
uller, J. P., and Pischel, M. (1996). Coopera-
tive transportation scheduling: an application domain
for dai. Applied Artificial Intelligence, 10(1):1–34.
Gath, M. (2015). Optimizing Transport Logistics Processes
with Multiagent-based Planning and Control. PhD
thesis.
Hashemi, A. S. and Sattarvand, J. (2015). Proceedings
of the 12th International Symposium Continuous Sur-
face Mining - Aachen 2014. pages 213–214.
Jaoua, A., Riopel, D., and Gamache, M. (2012). A simula-
tion framework for real-time fleet management in in-
ternal transport systems. Simulation Modelling Prac-
tice and Theory, 21(1):78–90.
Krzyzanowska, J. (2007). The impact of mixed fleet hauling
on mining operations at Venetia mine. Journal of the
Southern African Institute of Mining and Metallurgy,
107(4):215–224.
Mendes, J. B., D’Angelo, M. F. S. V., Maia, N. A.,
and Veloso, R. R. (2016). A Hybrid Multiobjec-
tive Evolutionary Algorithm for Truck Dispatching in
Open-Pit-Mining. IEEE Latin America Transactions,
14(3):1329–1334.
Mes, M., van der Heijden, M., and van Harten, A. (2007).
Comparison of agent-based scheduling to look-ahead
heuristics for real-time transportation problems. Euro-
pean Journal of Operational Research, 181(1):59–75.
Newman, A. M., Rubio, E., Caro, R., Weintraub, A., and
Eurek, K. (2010). A review of operations research in
mine planning. Interfaces, 40(3):222–245.
Patterson, S. R., Kozan, E., and Hyland, P. (2017). Energy
efficient scheduling of open-pit coal mine trucks. Eu-
ropean Journal of Operational Research, 262(2):759–
770.
Schillo, M., Kray, C., and Fischer, K. (2002). The eager bid-
der problem: a fundamental problem of DAI and se-
lected solutions. Proceedings of the 1st international
Joint Conference on Autonomous Agents and Multia-
gent Systems (AAMAS’02), (January):599–606.
Smith, R. G. (1980). The Contract Net Protocol:High-
level communication and control in a distributed prob-
lem solver. IEEE Tranactions on Computers, C-
29(12):1104–1113.
Warden, T., Porzel, R., Gehrke, J. D., Herzog, O., Langer,
H., and Malaka, R. (2007). Towards Ontology-Based
Multiagent Simulations : Plasma Approach.
An Agent-based System for Truck Dispatching in Open-pit Mines
81