We consider a dynamic facility location model in which the objective is to find a planning horizon, x*, and a first period decision, XI*, such that XI* is a first period decision for at least one optimal policy for all problems with planning horizons equal to or longer than x*. In other words, we seek a planning horizon, "r*, such that conditions after x* do not influence the choice of the opti...

In this paper, we present a dynamic simulation model which projects the future population of the city of Leeds as a basis for policy analysis and scenario planning. We argue that microsimulation modelling is not entirely effective in the representation of student populations. Alternative approaches using both spatial interaction models and student agents are presented and evaluated. The results...

many studies have been carried out and many methods have been used for estimating health staff re-quirements in health facilities or system, each have different advantages and disadvantages. differences in the extent to which utilization matches needs in different conditions intensify the limitations of each approach when used in iso-lation. is the utilization-based approach efficient in a situ...