How to cite this paper
Ghodrati, A., Abyak, H & Sharifihosseini, A. (2013). ATM cash management using genetic algorithm.Management Science Letters , 3(7), 2007-2041.
Refrences
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Song, J. S., & Zipkin, P. (1993). Inventory control in a fluctuating demand environment. Operations
Research, 41(2), 351-370.
Teddy, S. D., & Ng, S. K. (2011). Forecasting ATM cash demands using a local learning model of
cerebellar associative memory network. International Journal of Forecasting, 27(3), 760-776.
Toth, P., & Vigo, D. (Eds.). (1987). The vehicle routing problem (Vol. 9). Society for Industrial and
Applied Mathematics.
Vasumathi, A., & Dhanavanthan, P. (2010). Application of simulation technique in queuing model
for ATM facility. International Journal of Applied Engineering Research, Dindigul, 1(3), 469-
482.
Wagner, M. (2007). The optimal cash deployment strategy-modeling a network of automated teller
machines. Swedish School of Economics and Business Administration, Master of Science Thesis.
African retail banking. Ph.D. Thesis, University of Pretoria, Department of Industrial Engineering.
Armenise, R., Birtolo, C., Sangianantoni, E., & Troiano, L. (2010). A generative solution for ATM
cash management. In Soft Computing and Pattern Recognition (SoCPaR), 2010 International
Conference of (pp. 349-356). IEEE.
ATMmarketplace.com (2010). ATM software trends and analysis, NetWorld Alliance, Tech. Rep.
Kurdel, P., & Sebestyénov?, J. (2012). Modeling and optimization of ATM cash replenishment.
Proceeding of conference in Latest Trends in Information Technology, Vienna, 322-327.
Savelsbergh, M., & Sol, M. (1998). DRIVE: Dynamic routing of independent vehicles. Operations
Research, 46(4), 474-490.
Simutis, R., Dilijonas, D., Bastina, L., Friman, J., & Drobinov, P. (2007). Optimization of cash
management for ATM network. Information technology and control, 36(1A), 117-121.
Simutis, R., Dilijonas, D., & Bastina, L. (2008). Cash demand forecasting for ATM using neural
networks and support vector regression algorithms. In 20th EURO Mini Conference, Vilnius (pp.
416-421).
Snellman, H., & Viren, M. (2009). ATM networks and cash usage. Applied Financial
Economics, 19(10), 841-851.
Song, J. S., & Zipkin, P. (1993). Inventory control in a fluctuating demand environment. Operations
Research, 41(2), 351-370.
Teddy, S. D., & Ng, S. K. (2011). Forecasting ATM cash demands using a local learning model of
cerebellar associative memory network. International Journal of Forecasting, 27(3), 760-776.
Toth, P., & Vigo, D. (Eds.). (1987). The vehicle routing problem (Vol. 9). Society for Industrial and
Applied Mathematics.
Vasumathi, A., & Dhanavanthan, P. (2010). Application of simulation technique in queuing model
for ATM facility. International Journal of Applied Engineering Research, Dindigul, 1(3), 469-
482.
Wagner, M. (2007). The optimal cash deployment strategy-modeling a network of automated teller
machines. Swedish School of Economics and Business Administration, Master of Science Thesis.