Simulation allow to realize models of complex systems, processes, or components and carrying out experiments on them with the purpose to determine how the real systems perform. The aim of this paper is to present a simulator able to analyze the stochastic behaviour of multi-server queueing systems with general distributions for interarrival times and service ones, for which very few analytical results are available. The simulator, developed using the symbolic and the numerical power of the software Mathematica, is based on a discrete-event simulation model. Particularly, a case study is presented: the simulation of a real system represented by a bank, according to real data collected on interarrival times of the users and service times of the servers.
Simulation and analysis of a bank’s multi – server queueing system
CASCONE, ANNUNZIATA;RARITA', LUIGI
2005
Abstract
Simulation allow to realize models of complex systems, processes, or components and carrying out experiments on them with the purpose to determine how the real systems perform. The aim of this paper is to present a simulator able to analyze the stochastic behaviour of multi-server queueing systems with general distributions for interarrival times and service ones, for which very few analytical results are available. The simulator, developed using the symbolic and the numerical power of the software Mathematica, is based on a discrete-event simulation model. Particularly, a case study is presented: the simulation of a real system represented by a bank, according to real data collected on interarrival times of the users and service times of the servers.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
