Improving Warehouse Inventory Management Through Rfid, Barcoding and Robotics Technologies

Abstract

The purpose of this MBA project is to explore the potential value of combining automatic identification and robotics technology in order to improve asset visibility within a warehouse environment. The Defense Logistics Agency (DLA) experiences high costs associated with inventory inaccuracies and annual inventory audits. Our project examines technologies that could be used to improve the DLA s asset visibility. This study examines current industry applications of viable technologies in the marketplace and whether implementing these technologies would provide a sound economic solution. A cost benefit analysis is included to determine the affordability of efficiencies that RFID and barcoding bring to warehouse operations. This analysis encompasses costs for systems purchase, implementation, and integration. Benefits are measured by determining cost savings in manpower requirements, increased efficiencies in order and restocking times, and improved accuracy in inventory management. The qualitative analysis addresses the advantages and disadvantages of an automatic identification system implementation. It also addresses future potential for the use of robots to improve inventory management. Ultimately, the project concludes that 2D barcoding far more cost effective within 10 years; however, both 2D barcoding and RFID can provide a positive return on investment.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2014
Accession Number
ADA621276

Entities

People

  • Danny L. Ewing Jr.
  • Eric M. Burke

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Cyber
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Conditioning
  • Automatic Identification Systems
  • Business Administration
  • Commerce
  • Detectors
  • Guidance
  • Identification Systems
  • Information Systems
  • Logistics
  • Management Personnel
  • Robot Navigation
  • Robots
  • Supply Chain
  • Supply Chain Management
  • Two Dimensional
  • United States

Readers

  • Logistics and Supply Chain Management.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy