Title :
Simulation of the queue system in ticket business based on Monte Carlo method
Author_Institution :
Sch. of Sci., Shandong Univ. of Technol., Zibo, China
Abstract :
The simulation model in ticket business was analyzed and built based on Monte Carlo simulation method, producing negative exponential random variables with the constraint condition of the threshold time and the maximum number of service windows. The interaction between the average customer waiting time and the number of service windows was studied under the certain condition of predetermined the number of service window at the beginning. The research shows that the number of service windows should be increased by one when the average customer waiting time exceed the threshold time until reach the maximum number of service windows. The simulation results obtained mean contrast in average customer waiting time, the number of service windows.
Keywords :
Monte Carlo methods; customer services; organisational aspects; queueing theory; stochastic systems; Monte Carlo simulation method; negative exponential random variable; queue system simulation; threshold time; ticket business; Analytical models; Computational modeling; Exponential distribution; Monte Carlo methods; Queueing analysis; Simulation; Stochastic processes; Monte Carlo; linear congruential generators (LCG); queue; simulation; ticket;
Conference_Titel :
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7387-8
DOI :
10.1109/ESIAT.2010.5568979
