Starting Times for Data Collection in a Queueing Simulation I: Experiments with a Single Server Model.
NORTH CAROLINA UNIV AT CHAPEL HILL
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This paper presents results of experimentation aimed at identifying suitable starting rules for discrete event simulations. A starting rule is a decision rule that tells a simulation analyst when to begin collecting data that are relatively free of the initial conditions of a simulation. The starting rules described here rely for decision making on a comparison between a priori information on interarrival and service times and corresponding sample quantities computed during the course of a simulation. Testing of the first proposed rule on a single-server queueing simulation with exponential interarrival and serice times revealed a serious inadequacy. However, an examination of just how this inadequacy arose led to a second proposal for a starting rule. When tested in a parallel simulation the second rule produced considerably more favorable results. In addition, a perusal of the distribution of starting time for 1000 replications suggests a direction for future research aimed at reducing this starting time. Author
- Statistics and Probability