Accession Number:
ADA055412
Title:
Starting Times for Data Collection in a Queueing Simulation I: Experiments with a Single Server Model.
Descriptive Note:
Technical rept.,
Corporate Author:
NORTH CAROLINA UNIV AT CHAPEL HILL
Personal Author(s):
Report Date:
1978-05-01
Pagination or Media Count:
31.0
Abstract:
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
Descriptors:
Subject Categories:
- Statistics and Probability