Abstract
This paper displays the design and application of a model that simulates the queuing system of a fictional post office. Starting point for solving more complicated optimization tasks is to create a system model that consists of elements of reality and the relationships between these elements. The key part of the paper includes the model of a queuing system of a post office created in Anylogic simulation software. The model of the post office displays post office with 5 postal counters, a certain input flow and a certain service time with an exponential probability distribution. The model also includes statistics and cost calculation.
Highlights
Digital technologies and to them related processes of automation and digitalization, are the driving force of the present
In addition to the simulation model in the Anylogic program, the paper displays a conceptual model of the queuing system of a post office
The queuing system of a fictional post office is characterized by the two main random variables, namely the average time of service and the average customer input at the post office
Summary
Digital technologies and to them related processes of automation and digitalization, are the driving force of the present. Objectives of computer simulation are: elimination of the shortcomings of analytical methods and capturing of properties and elements of the real system that cannot be expressed in the analytical solution In the system such as queuing system of a post office there are many random variables that cannot be captured in the analytical solution of optimization problems [3,4,5,6,7,8,9]. In Slovakia, the quality of postal services is monitored and the quality requirements for the universal postal service are regulated by the regulatory authority of the Slovak Republic [16,17,18,19,20,21] Many of those quality requirements affect the Queuing systems of post offices. Given that the availability provides an overall indicator of how a particular facility is accessible for other sources located in the analysed space, it is necessary to determine the boundaries of this indicator [23]
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