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A stochastic goal programming model to derive stable cash management policies

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A stochastic goal programming model to derive stable cash management policies

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Salas-Molina, F.; Rodriguez-Aguilar, JA.; Pla Santamaría, D. (2020). A stochastic goal programming model to derive stable cash management policies. Journal of Global Optimization. 76(2):333-346. https://doi.org/10.1007/s10898-019-00770-5

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Título: A stochastic goal programming model to derive stable cash management policies
Autor: Salas-Molina, Francisco Rodriguez-Aguilar, Juan A. Pla Santamaría, David
Entidad UPV: Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi
Fecha difusión:
Resumen:
[EN] In this paper, we consider cash management systems with multiple bank accounts described by a given particular relationship between accounts and by a linear state transition law. Since cash managers may simultaneously ...[+]
Palabras clave: Multiple criteria , Multiple accounts , Stochastic goal programming , Uncertainty
Derechos de uso: Reserva de todos los derechos
Fuente:
Journal of Global Optimization. (issn: 0925-5001 )
DOI: 10.1007/s10898-019-00770-5
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s10898-019-00770-5
Código del Proyecto:
info:eu-repo/grantAgreement/EC/H2020/769142/EU
info:eu-repo/grantAgreement/EC/H2020/825619/EU
info:eu-repo/grantAgreement/GC//2017 SGR 172/
Agradecimientos:
This work has been partially funded by Generalitat de Catalunya (2017 SGR 172), AI4EU(H2020-825619), LOGISTAR (H2020-769142).
Tipo: Artículo

References

Srinivasan, V., Kim, Y.H.: Deterministic cash flow management: state of the art and research directions. Omega 14(2), 145–166 (1986)

da Costa M., Marcelo, B., Nagano, M.S., Sobreiro, V.A.: Stochastic cash flow management models: a literature review since the 1980s. In Decision Models in Engineering and Management, pp. 11–28. Springer International Publishing, (2015)

Bellman, R.: Dynamic Programming. Dover Publications, New York (1957) [+]
Srinivasan, V., Kim, Y.H.: Deterministic cash flow management: state of the art and research directions. Omega 14(2), 145–166 (1986)

da Costa M., Marcelo, B., Nagano, M.S., Sobreiro, V.A.: Stochastic cash flow management models: a literature review since the 1980s. In Decision Models in Engineering and Management, pp. 11–28. Springer International Publishing, (2015)

Bellman, R.: Dynamic Programming. Dover Publications, New York (1957)

Bertsekas, D.P.: Dynamic Programming and Optimal Control. Athena scientific, Belmont (2005)

Murray, D.M., Yakowitz, S.J.: Constrained differential dynamic programming and its application to multireservoir control. Water Resour. Res. 15(5), 1017–1027 (1979)

Yeh, W.W.-G.: Reservoir management and operations models: a state-of-the-art review. Water Resour. Res. 21(12), 1797–1818 (1985)

Labadie, J.W.: Optimal operation of multireservoir systems: state-of-the-art review. J. Water Resour. Plan. Manag. 130(2), 93–111 (2004)

Cembrano, G., Wells, G., Quevedo, J., Pérez, R., Argelaguet, R.: Optimal control of a water distribution network in a supervisory control system. Control Eng. Pract. 8(10), 1177–1188 (2000)

Jalali, M.R., Afshar, A., Marino, M.A.: Multi-colony ant algorithm for continuous multi-reservoir operation optimization problem. Water Resour. Manag. 21(9), 1429–1447 (2007)

Baccarin, S.: Optimal impulse control for a multidimensional cash management system with generalized cost functions. Eur. J. Oper. Res. 196(1), 198–206 (2009)

Salas-Molina, F.: Risk-sensitive control of cash management systems. Oper. Res. (2017). https://doi.org/10.1007/s12351-017-0371-0

Daellenbach, H.G.: A stochastic cash balance model with two sources of short-term funds. Int. Econ. Rev. 12(2), 250–256 (1971)

Stone, B.K.: The use of forecasts and smoothing in control limit models for cash management. Fin. Manag. 1(1), 72 (1972)

Salas-Molina, F., Martin, F.J., Rodriguez-Aguilar, J.A., Serrá, J., Arcos, J.L.: Empowering cash managers to achieve cost savings by improving predictive accuracy. Int. J. Forecast. 33(2), 403–415 (2017). https://doi.org/10.1016/j.ijforecast.2016.11.002

Penttinen, M.J.: Myopic and stationary solutions for stochastic cash balance problems. Eur. J. Oper. Res. 52(2), 155–166 (1991)

Salas-Molina, F., Pla-Santamaria, D., Rodriguez-Aguilar, J.A.: A multi-objective approach to the cash management problem. Ann. Oper. Res. 267(1–2), 515–529 (2018a)

Ballestero, E., Romero, C.: Multiple Criteria Decision Making and Its Applications to Economic Problems. Springer Science & Business Media, Berlin (1998)

Charnes, A., Cooper, W.W.: Chance-constrained programming. Manag. Sci. 6(1), 73–79 (1959)

Charnes, A., Cooper, W.W.: Goal programming and multiple objective optimizations. Eur. J. Oper. Res. 1(1), 39–54 (1977)

Ballestero, E.: Stochastic goal programming: a mean-variance approach. Eur. J. Oper. Res. 131(3), 476–481 (2001)

Abdelaziz, F.B., Aouni, B., Fayedh, R.E.: Multi-objective stochastic programming for portfolio selection. Eur. J. Oper. Res. 177(3), 1811–1823 (2007)

Aouni, B., Colapinto, C., La Torre, D.: Financial portfolio management through the goal programming model: current state-of-the-art. Eur. J. Oper. Res. 234(2), 536–545 (2014)

Salas-Molina, F., Pla-Santamaria, D., Rodríguez-Aguilar, J.A.: Empowering cash managers through compromise programming. In Financial Decision Aid Using Multiple Criteria, pp. 149–173. Springer (2018b)

Herrera-Cáceres, C.A., Ibeas, A.: Model predictive control of cash balance in a cash concentration and disbursements system. J. Frankl. Inst. 353(18), 4885–4923 (2016)

Prékopa, A.: Stochastic Programming. Kluwer Academic Publishers, Dordretch (1995)

Sahinidis, N.V.: Optimization under uncertainty: state-of-the-art and opportunities. Comput. Chem. Eng. 28(6–7), 971–983 (2004)

Birge, J.R., Louveaux, F.: Introduction to Stochastic Programming. Springer, Berlin (1997)

Bellman, R.E., Zadeh, L.A.: Decision-making in a fuzzy environment. Manag. Sci. 17(4), B-141 (1970)

Simon, H.A.: A behavioral model of rational choice. Q. J. Econ. 69(1), 99–118 (1955)

Gormley, F.M., Meade, N.: The utility of cash flow forecasts in the management of corporate cash balances. Eur. J. Oper. Res. 182(2), 923–935 (2007)

Romero, C.: Handbook of Critical Issues in Goal Programming. Pergamon Press, Oxford (1991)

Jones, D., Tamiz, M., et al.: Practical Goal Programming, vol. 141. Springer, Berlin (2010)

Ballestero, E., Garcia-Bernabeu, A.: Portfolio selection with multiple time horizons: a mean variance-stochastic goal programming approach. INFOR Inf. Syst. Oper. Res. 50(3), 106–116 (2012)

Soyster, A.L.: Technical note—convex programming with set-inclusive constraints and applications to inexact linear programming. Oper. Res. 21(5), 1154–1157 (1973)

Ben-Tal, A., Nemirovski, A.: Robust solutions of uncertain linear programs. Oper. Res. Lett. 25(1), 1–13 (1999)

Ben-Tal, A., El Ghaoui, L., Nemirovski, A.: Robust Optimization. Princeton University Press, Princeton (2009)

Tyrrell Rockafellar, R., Uryasev, S.: Conditional value-at-risk for general loss distributions. J. Bank. Fin. 26(7), 1443–1471 (2002)

Saaty, T.L.: How to make a decision: the analytic hierarchy process. Interfaces 24(6), 19–43 (1994)

Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1(1), 83–98 (2008)

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