An analysis of automatic identification technology applications in 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.

Subjects

Links

• http://handle.dtic.mil/100.2/ADA333322