Dyna-Sim
A Nonstationary Queuing Simulation with Application to the Automated Test Equipment Problem
Download
Download eBook for Free
| Format | File Size | Notes |
|---|---|---|
| PDF file | 2 MB | Use Adobe Acrobat Reader version 10 or higher for the best experience. |
Purchase
Purchase Print Copy
| Format | List Price | Price | |
|---|---|---|---|
| Add to Cart | Paperback70 pages | $25.00 | $20.00 20% Web Discount |
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.
This report is part of the RAND Corporation Note series. The note was a product of the RAND Corporation from 1979 to 1993 that reported other outputs of sponsored research for general distribution.
This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.
The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.