An analysis of automatic identification technology applications in Naval Logistics
By: David M. Watt, David P. Smith
Contributors: Naval Postgraduate School (U.S.) ; Smith, David P.; Naval Postgraduate School (U.S.) 
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1997
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 113
Subjects: AUTOMATIC; NAVAL LOGISTICS
Description: This thesis evaluates potential uses of automatic identification technologies (AIT) in support of Naval logistics.      AIT includes a range of technologies and techniques which incorporate the rapid and accurate capture of data      and its subsequent processing for cognitive recognition and identification. An introduction to the various AIT      system components, from the well established bar coding technology to the more versatile radio frequency      identification (RFID) technology, is presented. Additionally, the underlying fundamentals of Naval logistics      principles, functions, and elements are discussed, including how these themes translate into promising potential      uses of AIT. Recent Naval AIT applications are featured and the results and lessons learned evaluated. In this      era of joint operations and use of coalition forces, this work places emphasis on compatibility, interoperability,      and the importance of enforcing standardization of AIT symbologies in the commercial and military sectors. The      DoD is in the midst of great change and restructuring, especially in the area of logistics. This study provides      Naval logistics stakeholders a broad overview of the prevalent MT system component capabilities and      limitations. An AIT implementation model is also featured that delineates the various program elements which      have significant impact on the efficiency and effectiveness of procured AIT systems. A thorough understanding of      the technology and its associated integration issues should enable Naval leadership to make sound AIT      acquisitions.
Notes: Thesis advisors, David G. Brown, Paul F. Fields.

AD-A333 322.

Thesis (M.S. in Management) Naval Postgraduate School, March 1997.

Includes bibliographical references (p. 107-111)

dk/dk cc:9116 02/10/98.