Simulating Stable Stochastic Systems, III: Regenerative Processes and Discrete Event Simulations.
CONTROL ANALYSIS CORP PALO ALTO CALIF
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An earlier developed technique for analyzing simulations of GIGS queues and Markov chains is shown to apply to discrete-event simulations which can be modeled as regenerative processes. It is possible to address questions of simulation run duration and of starting and stopping simulations because of the existence of a random grouping of observations which produces independent identically distributed blocks in the course of the simulation. This grouping allows one to obtain confidence intervals for a general function of the steady-state distribution of the process being simulated and for the asymptotic cost per unit time. The technique is illustrated with a simulation of a retail inventory distribution system. Author
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- Operations Research