Abstract:
The key objective is to develop a method which can be utilized to model a stochastic continuous
system. A system from the "real world" is used as the basis for the simulation modelling technique
that is presented. The conceptualization phase indicates that the model has to incorporate
stochastic and deterministic elements. A method is developed that utilizes the discrete simulation
ability of a stochastic package (ARENA), in conjunction with a deterministic package
(FORTRAN), to model the continuous system. (Software packages tend to specialize in either
stochastic, or deterministic modelling.) The length of the iteration time interval and adequate
sample size are investigated. The method is authenticated by the verification and validation ofthe
defined model. Two scenarios are modelled and the results are discussed . Conclusions are
presented and strengths and weaknesses of this method are considered and discussed .
