Simulation of Queuing System of Post Office

Abstract

Abstract The paper displays the usage of simulation method as a tool for optimizing costs of particular post office. For this research specific post office was selected. This post office is situated in town Bytca. The starting point for solving more complicated optimization tasks is to create a system model that includes elements of reality and the relationships between these elements. Simulation methods make it possible to eliminate the most of the obstacles that arise from the analytical solution of queuing systems such as queuing system of post office. In contrast to the analytical solution, the stochastic elements of the system are captured by an algorithm in the order to generate the value of random variables in simulation model. The dynamic properties of the system are captured by the time step variable method. The aim of this paper is to use simulation method and optimize number of service counters in the way to save costs. The model of the queuing system that is used in this article is based on two types of events –customer arrival and end of customer service. The model was designed to provide the results of system characteristics. Simultaneous experiments give us the ability to analyze system characteristics and declare conclusions about the system.