FAST-VAL

Case Study of North Vietnamese Army Mortar Attack on U.S. Marine Infantry Company and Battalion Command Post at Hill 256 near the Ben Hai River

by S. H. Miller

Download

Download eBook for Free

FormatFile SizeNotes
PDF file 3.2 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

Purchase

Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback76 pages $25.00 $20.00 20% Web Discount

The RAND FAST-VAL II simulation model (1) computes casualties inflicted during ground combat by small arms, mortars, artillery, and air ordnance; (2) evaluates casualty-related effects on the performance of ground units; and (3) appraises outcomes of military ground actions. This report compares the model's computation of casualties caused by mortars with actual combat casualties. The comparison is made using information obtained from interviews that report a 4-to-6-min North Vietnamese Army (NVA) attack with 82-mm mortar rounds on Bravo Company and the Command Post of the U.S. Marine lst Battalion 9th Regiment on 17 September 1968 near the Ben Hai River. Although the casualties computed by FAST-VAL seem to agree closely with the reported casualties, analysis indicates that they differ significantly in a statistical sense.

This report is part of the RAND Corporation report series. The report was a product of the RAND Corporation from 1948 to 1993 that represented the principal publication documenting and transmitting RAND's major research findings and final research.

Permission is given to duplicate this electronic document for personal use only, as long as it is unaltered and complete. Copies may not be duplicated for commercial purposes. Unauthorized posting of RAND PDFs to a non-RAND Web site is prohibited. RAND PDFs are protected under copyright law. For information on reprint and linking permissions, please visit the RAND Permissions page.

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.