A Nonstationary Queuing Simulation with Application to the Automated Test Equipment Problem
This Note describes the Dyna-Sim model, which provides a capability for exploring the implications of maintenance repair queuing for spare parts requirements. Use of the Dyna-Sim model to study the Automated Test Equipment (ATE) problem led to the conclusion that the "ample server assumption" (i.e., that there are more than enough ATE available to serve any repair demands) is misleading for situations where queues become saturated in high sortie rate scenarios. The authors also used Dyna-Sim to show that in a constrained server problem, the choice of the repair time distribution is not important. This permits use of exponential repair distributions in the development of tractable analytical approximations to queuing models.