. Dindarloo, S. R., Osanloo, M.and Frimpong, S. (2015). A stochastic simulation framework for truck and shovel selection and sizing in open pit mines. Journal of the Southern African Institute of Mining and Metallurgy. 115209-19.
. Anani, A. K. (2016). Applications of simulation and optimization techniques in optimizing room and pillar mining systems. PhD Thesis, Missouri University of Science and Technology, Rolla, Missouri.
. O'Shea, J. B., Slutkin, G. N.and Shaffer, L. R. (1964). An application of the theory of queues to the forecasting of shovel-truck fleet productions. MSc Thesis, Department of Civil Engineering, University of Illinois, Urbana.
. Griffis, F. H. (1968). Optimizing haul fleet size using queueing theory. Journal of the Construction Division. 94(1): 75-88.
. Carmichael, D. G. (1986). Shovel–truck queues: a reconciliation of theory and practice. Construction Management and Economics. 4(2): 161-77.
. Ercelebi, S. G.and Bascetin, A. (2009). Optimization of shovel-truck system for surface mining. The Journal of The Southern African Institute of Mining and Metallurgy. 109(7): 433-9.
. Fanti, M. P., Mangini, A. M., Pedroncelli, G.and Ukovich, W. (2014). Fleet sizing for electric car sharing system via closed queueing networks. 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 1324-9.
. Choobineh, F. F., Asef-Vaziri, A.and Huang, X. (2012). Fleet sizing of automated guided vehicles: a linear programming approach based on closed queuing networks. International Journal of Production Research. 50(12): 3222-35.
. Kaboli, A. S.and Carmichael, D. G. (2014). Truck dispatching and minimum emissions earthmoving. Smart and Sustainable Built Environment. 3(2): 170-86.
. Mole, R. H. (1975). Dynamic Optimization of Vehicle Fleet Size. Journal of the Operational Research Society. 26(1): 25-34.
. Murotsu, Y.and Taguchi, K. (1975). Opimization of ship fleet-size. Bulletin of University of Osaka Prefecture Series A, Engineering and natural sciences. 23(2): 177-92.
. Banks, J. Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice: John Wiley & Sons, Inc.; 1998.
. Tarshizi, E., Sturgul, J., Ibarra, V.and Taylor, D. (2015). Simulation and animation model to boost mining efficiency and enviro-friendly in multi-pit operations. International Journal of Mining Science and Technology. 25(4): 671-4.
. Ahn, C., Rekapalli, P. V., Martinez, J. C.and Pena-Mora, F. A. (2009). Sustainability analysis of earthmoving operations. Proceedings of the 2009 Winter Simulation Conference, Austin, Texas, 2605-11.
. Aghajani, A., Osanloo, M.and Akbarpour, M. (2007). Optimising the loading system of Gol-e-Gohar iron ore mine of Iran by genetic algorithm. Iron Ore Conference, Perth, Australia 21-5.
. Liu, S., Huang, W.and Ma, H. (2009). An effective genetic algorithm for the fleet size and mix vehicle routing problems. Transportation Research Part E: Logistics and Transportation Review. 45(3): 434-45.
. Yao, J., Yuan, X., Yao, B.and Yu, B. (2012). Optimization model of taxi fleet size under dynamic demands. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology. 32114-7.
. Fedorčáková, M., Šebo, J.and Petriková, A. (2012). Innovative application of inventory theory for determining optimal fleet size for a car-sharing system. 2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 157-60.
. Li, J., Chen, Y. S., Li, H., Andreasson, I.and Zuylen, H. v. (2010). Optimizing the fleet size of a Personal Rapid Transit system: A case study in port of Rotterdam. 13th International IEEE Conference on Intelligent Transportation Systems, 301-5.
. Alkass, S.and Harris, F. (1988). Expert System for Earthmoving Equipment Selection in Road Construction. Journal of Construction Engineering and Management. 114(3): 426-40.
. Amirkhanian, S. N.and Baker, N. J. (1992). Expert System for Equipment Selection for Earth‐Moving Operations. Journal of Construction Engineering and Management. 118(2): 318-31.
. Burt, C., Caccetta, L.and Welgama, P. (2005). Models for mining equipment selection. MODSIM 2005 International Congress Modeling Simulation 1730–6.
. Baek, J.and Choi, Y. (2020). Deep Neural Network for Predicting Ore Production by Truck-Haulage Systems in Open-Pit Mines. Applied Sciences. 10(5): 1657.
. Karshenas, S.and Feng, X. (1992). Application of neural networks in earthmoving equipment production estimating. 8th Conference in Computing in Civil Engineering and Geographic Information Systems,, New York, 841-7.
. Nunnally, S. W. Construction Methods and Management. New Jersey: Prentice Hall; 2010.
. Han, S., Hong, T.and Lee, S. (2008). Production prediction of conventional and global positioning system–based earthmoving systems using simulation and multiple regression analysis. Canadian Journal of Civil Engineering. 35(6): 574-87.
. Chanda, E. K.and Gardiner, S. (2010). A comparative study of truck cycle time prediction methods in open-pit mining. Engineering, Construction and Architectural Management. 17(5): 446-60.
. Burt, C. N.and Caccetta, L. (2007). Match factor for heterogeneous truck and loader fleets. International Journal of Mining, Reclamation and Environment. 21(4): 262-70.
. Ayağ, Z. (2007). A hybrid approach to machine-tool selection through AHP and simulation. International Journal of Production Research. 45(9): 2029-50.
. Camarena, E. A., Gracia, C.and Cabrera Sixto, J. M. (2004). A Mixed Integer Linear Programming Machinery Selection Model for Multifarm Systems. Biosystems Engineering. 87(2): 145-54.
. Krause, A.and Musingwini, C. (2007). Modelling open pit shovel-truck systems using the Machine Repair Model. Journal of the Southern African Institute of Mining and Metallurgy. 107, 469–76.
. Terrazas-Prado, P. G., Kecojevic, V., Bogunovic, D.and Mongeon, P. (2013). Truck cycle and delay automated data collection system in surface coal mining. The Journal of The Southern African Institute of Mining and Metallurgy. 113(11): 881-8.
. Blackwell, G. H. (1999). Estimation of large open pit haulage truck requirements. CIM Bulletin. 92(1028): 143-9.
. Hardy, R. H. (2007). Selection criteria for loading and hauling equipment - open pit mining applications. PhD thesis Thesis, Curtin University of Technology, Perth, Australia.
. Chaowasakoo, P., Seppälä, H., Koivo, H.and Zhou, Q. (2017). Digitalization of mine operations: Scenarios to benefit in real-time truck dispatching. International Journal of Mining Science and Technology. 27(2): 229-36.
. Soofastaei, A., Aminossadati, S. M., Kizil, M. S.and Knights, P. (2016). A comprehensive investigation of loading variance influence on fuel consumption and gas emissions in mine haulage operation. International Journal of Mining Science and Technology. 26(6): 995-1001.
. EPA. Clean construction USA. U.S. Environmental Protection Agency; 2005.
. EPA. Nonroad model (nonroad engines, equipment, and vehicles). U.S. Environmental Protection Agency, U.S.A; 2008.
. CARB. Off-road emissions inventory program (Version 2009). California Air Resources Board, Sacramento. ; 2009.
. Frey, H., Rasdorf, W., Kim, K., Pang, S.-h.and Lewis, P. (2008). Comparison of real-world emissions of B20 biodiesel versus petroleum diesel for selected nonroad vehicles and engine tiers. Transportation Research Record: Journal of the Transportation Research Board. 205833-42.
. Lewis, M. (2009). Estimating fuel use and emission rates of nonroad diesel construction equipment performing representative duty cycles. PhD thesis Thesis, North Carolina State University, Raleigh, North Carolina.
 Pang, S. (2007). Life cycle inventory incorporating fuel cycle and real-world in-use measurement data for construction equipment and vehicles. PhD thesis Thesis, North Carolina State University, Raleigh, North Carolina.
. Hansen, T. In-use evaluation of emissions from non-road diesel equipment using biodiesel fuel. Albany NY: prepared for The NY State Energy Research and Development Authority; 2008.
. Gautum, M. Testing for exhaust emissions for diesel off-road engines. prepared for California Air Resources Board. Department of Mechanical and Aerospace Engineering, West Virginia University. Morgantown, West Virginia.; 2002.
. Carmichael, D. G., Williams, E. H.and Kaboli, A. S. (2012). Minimum operational emissions in earthmoving. Construction Research Congress 2012, Purdue University, Indiana, 21-23 May 2012, 1869-78.
. Lewis, P., Leming, M.and Rasdorf, W. (2012). Impact of Engine Idling on Fuel Use and CO2 Emissions of Nonroad Diesel Construction Equipment. Journal of Management in Engineering. 28(1): 31-8.
. Carmichael, D. G., Bartlett, B. J.and Kaboli, A. S. (2014). Surface mining operations: coincident unit cost and emissions. International Journal of Mining, Reclamation and Environment. 28(1): 47-65.
. Carmichael, D. G. Production tables for earthmoving, quarrying and open-cut mining operations. Applied Construction Management. Sydney: Unisearch Ltd Publishers; 1989. p. 275-84, ISBN 0 909796 19 X.
. Carmichael, D. G. Engineering Queues in Construction and Mining. Chichester: Ellis Horwood Ltd; 1987.