Estimating the ROI on Implementation of RFID at the Ammunition Storage Warehouse and the 40th Supply Depot: KVA as a Methodology

Abstract

The purpose of this project is to estimate the Return On Investment (ROI) on implementation of RFID (Radio Frequency Identification) in the Ministry of National Defense (MND) inventory management context by using the KVA (Knowledge Value Added) theory. The MND has not only experienced continuous pressure from the government to reduce costs, but has also tried to improve productivity. To meet this challenge, the MND has tried to adopt various new management techniques and technologies to improve the operational performance, cost effectiveness, and ROI. Accordingly, the authors will use the performance measurement methodology, the KVA approach to estimate the ROI in one of these new technologies, i.e., RFID. The KVA methodology may prove to be a very useful tool for the MND. In particular, this framework will give decision-makers an idea of how an investment in RFID to support a redesigned inventory management process is paying off. The KVA also provides management with a way to help manage costs. This tool can be also applied to other areas in the MND to assess the potential ROI of new techniques and process redesigns before implementing them.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2009
Accession Number
ADA514294

Entities

People

  • Bok M. Jung
  • Dong H. Baek

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Business Administration
  • Computer Programs
  • Costs
  • Data Analysis
  • Economic Analysis
  • Governments
  • Information Systems
  • Investments
  • Iraqi-War
  • Logistics
  • Management Personnel
  • Measurement
  • Personal Digital Assistants
  • Social Sciences
  • Supply Chain
  • Supply Chain Management
  • Supply Depots

Readers

  • Industrial Economics
  • Organizational Process Management (OPM).
  • Sensor Fusion and Tracking Systems.