Unmanned Aircraft Systems for Logistics Applications

John E. Peters, Somi Seong, Aimee Bower, Harun Dogo, Aaron L. Martin, Christopher G. Pernin

ResearchPublished Jan 25, 2012

RAND Arroyo Center evaluated potential logistics applications for unmanned aircraft systems (UAS) to determine whether they are technically feasible, operationally feasible, and more cost-effective than other options. The study concentrated on reconnaissance and surveillance tasks to secure logistics convoys through overwatch with UAS; route reconnaissance looking for hazards that might endanger logistics convoys; surveillance of pipelines, electrical lines, rivers, supply depots, disaster scenes, and pre-deployment reconnaissance. It also examined the potential for using UAS to locate airdropped cargo that misses the drop zone and to retrograde critical unserviceable items expeditiously. The study identified six factors that could be used to compare UAS and non-UAS based solutions to logistics tasks. The study uncovered significant potential for logistics applications of these systems in the near- and long-term future.

Topics

Document Details

  • Availability: Web Only
  • Year: 2011
  • Pages: 126
  • Document Number: MG-978-A

Citation

Chicago Manual of Style

Peters, John E., Somi Seong, Aimee Bower, Harun Dogo, Aaron L. Martin, and Christopher G. Pernin, Unmanned Aircraft Systems for Logistics Applications. Santa Monica, CA: RAND Corporation, 2011. https://www.rand.org/pubs/monographs/MG978.html.
BibTeX RIS

Research conducted by

This publication is part of the RAND monograph series. RAND monographs were products of RAND from 2003 to 2011 that presented major research findings that addressed the challenges facing the public and private sectors. All RAND monographs were subjected to rigorous peer review to ensure high standards for research quality and objectivity.

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.

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.