ATM Location Problem and Cash Management in Automated Teller Machines

Authors: M. Erol Genevois, D. Celik, H. Z. Ulukan

Abstract:

Automated Teller Machines (ATMs) can be considered among one of the most important service facilities in the banking industry. The investment in ATMs and the impact on the banking industry is growing steadily in every part of the world. The banks take into consideration many factors like safety, convenience, visibility, and cost in order to determine the optimum locations of ATMs. Today, ATMs are not only available in bank branches but also at retail locations. Another important factor is the cash management in ATMs. A cash demand model for every ATM is needed in order to have an efficient cash management system. This forecasting model is based on historical cash demand data which is highly related to the ATMs location. So, the location and the cash management problem should be considered together. This paper provides a general review on studies, efforts and development in ATMs location and cash management problem.

Keywords: ATM location problem, cash management problem, ATM cash replenishment problem, literature review in ATMs.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1109473

References:

[1] E.D. Hatzakis, S.K. Nair, M.L. Pinedo, "Operations in financial services—an overview", Production and Operations Management, vol. 19(6), pp.633-664, 2010.
[2] P. Adams, "Choosing a Choice ATM Site; ATM Buyer's Guide", Credit Union Management, vol. 14 (3), pp.15-17, 1991.
[3] A. Quadrei, S. Habib, "Allocation of heterogeneous banks’ Automated Teller Machines", In: 2009 First International Conference on Intensive Applications and Services, April 21-25, 2009, pp.16-21, Valencia.
[4] M.A. Aldajani, H.K. Alfares, "Location of banking Automatic Teller Machines based on convolution", Computers & Industrial Engineering, vol. 57, pp.1194-1201, 2009.
[5] O. Berman, R.C. Larson, N. Fouska, "Optimal location of discretionary service facilities", Transportation Science, vol. 26 (3), pp.201–211, 1992.
[6] P.V. Boufounou, "Theory and methodology evaluating bank branch location and performance: a case study", European Journal of Operational Research, vol. 87, pp.389-402, 1995.
[7] H. Min, E. Melachrinoudis, "The three-hierarchical location-allocation of banking facilities with risk and uncertainty", International Transactions in Operational Research, vol.8, pp.381-401, 2001.
[8] V. Jayaraman, R. Gupta, H. Pirkul, "Selecting hierarchical facilities in a service-operations environment", European Journal of Operational Research, vol. 147, pp.613-628, 2003.
[9] L. Zhang, G. Rushton, "Optimizing the size and locations of facilities in competitive multi-site service systems", Computers & Operations Research, vol. 35, pp.327-338, 2008.
[10] Y. Li, H. Sun, C. Zhang, G. Li, "Sites selection of ATMs based on particle swarm optimization", In: 2009 International Conference on Information Technology and Computer Science, July 25-26, 2009, pp.526-530, Kiev.
[11] L. Zi-fa, Z. Wei, J Xing, L. Ke, "Optimal planning of charging station for electric vehicle based on particle swarm optimization", In: Innovative Smart Grid Technologies – Asia, May 21-24, 2012, pp. 1-5, Tianjin.
[12] J. Castro, "A stochastic programming approach to cash management in banking", European Journal of Operational Research. vol. 192, pp.963- 974, 2009.
[13] R. Simutis, D. Dilijonas, L. Bastina, "Cash demand forecasting for ATM using neural networks and support vector regression algorithms", In: 20th EURO Mini Conference Continuous Optimization and Knowledge- Based Technologies, May 20-23, 2008, pp. 416-421, Neringa.
[14] H. Snellman, M. Viren, "ATM networks and cash usage applied financial economics", vol. 19, pp.841-851, 2009.
[15] R. Armenise, C. Birtolo, E. Sangianantoni, L. Troiano, "A generative solution for ATM cash management", In: 2010 International Conference of Soft Computing and Pattern Recognition, December 7-10, 2010, pp.349-356, Paris.
[16] S.D. Teddy, S.K. Ng,. "Forecasting ATM cash demands using a local learning model of cerebellar associative memory network", International Journal of Forecasting, vol. 27, pp.760-776, 2011.
[17] R. Simutis, D. Dilijonas, L. Bastina, J. Friman, P. Drobinov, "Optimization of cash management for ATM network", Information Technology and Control, vol. 36 (1A), pp.117-121, 2007.
[18] A. Laukaitis, "Functional data analysis for cash flow and transactions intensity continuous-time prediction using Hilbert-valued autoregressive processes", European Journal of Operational Research, vol. 185, pp.1607–1614, 2008.
[19] A.R. Brentnall, M.J. Crowder, D.J. Hand, "Predictive-sequential forecasting system development for cash machine stocking", International Journal of Forecasting, vol. 26, pp.764-776, 2010a.
[20] A.R. Brentnall, M.J. Crowder, D.J. Hand, "Predicting the amount individuals withdraw at cash machines using a random effects multinomial model", Statistical Modeling, vol. 10 (2), pp.197-214, 2010b.
[21] S. Ben Taieb, G. Bontempi, A.F. Atiya, A. Sorjamaa, "A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition", Expert Systems with Applications, vol. 39, pp. 7067–7083, 2012.
[22] G. Acuña, C. Ramirez, M. Curilem, "Comparing NARX and NARMAX models using ANN and SVM for cash demand forecasting for ATM", In: WCCI 2012 IEEE World Congress on Computational Intelligence, June 10-15, 2012, Brisbane.
[23] R.G. Van Anholt, L.C. Coelho, G. Laporte, I.F.A. Vis, "An inventoryrouting problem with pickups and deliveries arising in the replenishment of automated teller machines", Research paper, CIRRELT-2013-71, 2013.
[24] S. Chotayakul, P. Charnsetthikul, J. Pichitlamken, J. Kobza, "An optimization-based heuristic for a capacitated lot-sizing model in an automated teller machines network", Journal of Mathematics and Statistics, vol. 9(4), pp. 283–288, 2013.
[25] T. Baker, V. Jayaraman, N. Ashley, "A data-driven inventory control policy for cash logistics operations: An exploratory case study application at a financial institution", Decision Sciences, vol.44 (1), pp. 205–226, 2013.
[26] Y. Ekinci, J-C. Lu, E. Duman, "Optimization of ATM cash replenishment with group-demand forecasts", Expert Systems with Applications, vol. 42, pp. 3480-3490, 2015.