Download
Download eBook for Free
Format | File Size | Notes |
---|---|---|
PDF file | 0.9 MB | Use Adobe Acrobat Reader version 10 or higher for the best experience. |
Purchase
Purchase Print Copy
Format | List Price | Price | |
---|---|---|---|
Add to Cart | Paperback41 pages | $23.00 | $18.40 20% Web Discount |
After an attack on an airbase, the system of taxiways that connect aircraft shelters or parking areas to the airbase runway may be so damaged that some of the aircraft are not able to reach the runway. In this Note, the Taxiway Repair Schedule Problem is defined to be the problem of finding the optimal sequence for repairing the damaged taxiway sections, assuming that each section has a known repair time and that the sections are repaired one at a time. An optimal taxiway repair sequence minimizes the average time that aircraft have been denied access to the runway. Two procedures are presented for selecting repair schedules: one, a branch-and-bound algorithm, actually determines an optimal schedule, but at a high computational cost (which becomes infeasibly high for a large number of damaged taxiway sections); the second, a heuristic rule, is computationally simple but does not select optimal schedules for all problems. The two procedures are compared for 100 example problems.
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.