About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Publication
SOLI 2008
Conference paper
Markov decision processes formulation for stochastic and dynamic bank branches location problems
Abstract
The optimization of investment policies in bank branches within dynamic and stochastic economic environment has become more and more important nowadays. However, it has not been generally formulated due to the randomness in markets and the complicated dynamics of economic growth. This paper formulates the stochastic and dynamic bank branches location problem as a Markov Decision Processes (MDP), and presents a policy iteration algorithm to obtain the optimal investment policies. Numerical examples demonstrate the effectiveness and efficiency of our formulation and algorithm. Furthermore, the formulation and algorithms have been embedded into an IPM asset called IFAO-SIMO, and they have been acting as the mathematical kernels of the asset optimization engine. ©2008 IEEE.