Application of queueing theory with Monte Carlo simulation to the study of the intake and adverse effects of ethanol

Abstract

A deterministic approach has so far been used in the modelling of the intake, metabolism, and elimination of ethanol. However, a well-structured deterministic model needs to consider numerous factors, e.g. anatomical structure, metabolic rate, perfusion rates, non-steady-state and steady-state. In the present study, a stochastic approach was used for modelling the study of ethanol because there is a phenomenological analogy between a queueing system and the systems in the body dealing with ethanol. When using queueing theory, both the consumption of ethanol and the removal of the adverse effects associated with its consumption from the body can be random processes; and the requirement for detailed information on the anatomical structure etc, can be minimized. Using queueing theory, estimations can be made with regard to the accumulated adverse effects of ethanol in the body, the time needed to remove the adverse effects etc. Monte Carlo simulation was performed to analyse the drinking of beer and the removal of the adverse effects associated with it, and to show the potential use of queueing theory in the study of ethanol.