• Castro, J., 2009. A stochastic programming approach to cash management in banking. European Journal of Operational Research 192, 963974.
  • Chen, X., Simchi-Levi, D., 2009. A new approach for the stochastic cash balance problem with fixed costs. Probability in the Engineering and Informational Sciences 23, 545562.
  • Dawande, M., Mehrotra, M., Mookerjee, V., Sriskandarajah, C., 2010. An analysis of coordination mechanisms for the US cash supply chain. Management Science 56, 553570.
  • Eppen, G.D., Fama, E.F., 1999. Cash balance and simple dynamic portfolio problems with proportional costs. International Economics Review 10, 119133.
  • Escudero, L., Quintana, F., Salmeron, J., 1999. CORO: a modeling and algorithmic framework for oil supply, transformation and distribution optimization under uncertainty. European Journal of Operational Research 114, 638656.
  • Feinberg, E., Lewis, M., 2007. Optimality inequalities for average cost Markov decision processes and the stochastic cash balance problem. Mathematics of Operations Research 32, 769783.
  • Girgis, N.M., 1968. Optimal cash balance levels. Management Science 15, 130140.
  • Goetschalckx, M., Vidal, C., Dogan, K., 2002. Modeling and design of global logistics systems: a review of integrated strategic and tactical models and design algorithms. European Journal of Operational Research 143, 118.
  • Klibi, W., Martel, A. Guitouni, A., 2010. The design of robust value-creating supply chain networks: a critical review. European Journal of Operational Research 203, 283293.
  • Linsmeier, T.J., Pearson, N.D., 1996. Risk Measurement: An Introduction to Value at Risk. Department of Accountancy and Department of Finance. University of Illinois, Urbana-Champaign, IL. Available at (accessed June 11, 2009).
  • Meixell, M.J., Gargeta, V.B., 2005. Global supply chain design: a literature review and critique. Transportation Research Part E 41, 531550.
  • Meng-Huai, C., 1991. How much cash should a bank maintain?—an optimization approach. M.Sc. thesis, Massachusetts Institute of Technology, Cambridge, MA. Available at (accessed 11 October 2009).
  • Neave, E.H., 1970. The stochastic cash balance problem with fixed costs for increases and decreases. Management Science 16, 472490.
  • Papageorgiou, L.G., Georgiadis, M.C., 2008. Supply Chain Optimization: Parts I and II. Process Systems Engineering. Wiley-VCH, Weinheim.
  • Rajamani, D., Geismar, H., Sriskandarajah, C., 2006. A framework to analyze cash supply chains. Production and Operations Management 15, 544552.
  • Simutis, R., Dilijonas, D., Bastina, L., Friman, J., Drobinov, P., 2007. Optimization of cash management for ATM network. Information Technology and Control 36, 117121.
  • Simutis, R., Dilijonas, D., Bastina, L., 2008. Cash demand forecasting for ATM using neural networks and support vector regression algorithms. International Conference. 20th EURO Mini Conference, “Continuous Optimization and Knowledge-Based Technologies” 1, 416421.
  • Villegas, J., 2004. Problemas de localización multiobjetivo. Bogotá, M.Sc. Tesis, Universidad de los Andes, Colombia.
  • Wagner, M., 2007. The optimal cash deployment strategy—modeling a network of ATMs. M.Sc. thesis. Swedish School of Economics and Business Administration, Finland.
  • Whisler, W.D., 1967. A stochastic inventory model for rented equipment. Management Science 13, 640647.
  • Zhang, P., 2004. Neural Networks in Business Forecasting. Idea Group Publishing, London.