Cover: A variable resolution approach to modeling command and control in disaster relief operations

A variable resolution approach to modeling command and control in disaster relief operations

Published 1993

by Walter L. Perry, John Y. Schrader, Barry Wilson

Purchase Print Copy

 Format Price
Add to Cart Paperback37 pages $20.00

This paper is an annotated briefing which describes the use of variable resolution modeling techniques to understand the functioning of a proposed new system for reporting damage from national disasters and in directing subsequent relief operations. The modeling technique illustrated is an example of a more general process of using an existing modeling testbed to rapidly generate and evaluate alternative concepts of operation for the command and control (C2) of critical processes. The paper focuses on the construction and modification of C2 models designed to assist in the development of concepts and procedures to support disaster relief decisions and to control their execution. The objective is to suggest a process to evaluate alternative operational concepts against standard measures of information quality such as completeness, relevance, timeliness and accuracy. The construction process follows a top-down approach starting with a crude, highly aggregated representation of the essential C2 network, operational procedures and operational processes. Subsequent modifications consist of recursively increasing the level of resolution at critical network facilities and information processing activities. In this way, we are able to gain a clearer understanding about which system components are likely to degrade the quality of information.

This report is part of the RAND paper series. The paper was a product of RAND from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.

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

RAND 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.