DocumentCode
1942886
Title
An RFID-based inventory management framework for efficient emergency relief operations
Author
Ozguven, E.E. ; Ozbay, K.
Author_Institution
Civil & Environ. Eng. Dept., Rutgers Univ., Piscataway, NJ, USA
fYear
2012
fDate
16-19 Sept. 2012
Firstpage
1274
Lastpage
1279
Abstract
Emergency disaster management has emerged as a vital tool to reduce the harm and alleviate the suffering the disasters can cause to their victims. A significant task of planners involved in the emergency disaster management is the ability to plan for and satisfy the vital needs of the people located in the emergency shelters, such as the Superdome shelter at New Orleans. As clearly stated by Whybark [1], the management of the stored vital commodities can be improved within the emergency disaster management if there were more effective tracking and monitoring systems. This study proposes a comprehensive framework for the development of a humanitarian emergency inventory management system based on the real-time tracking of emergency supplies and demands through the integration of emerging technologies such as Radio Frequency Identification Devices (RFID). The proposed approach combines an offline planning strategy with online control techniques in a unified framework that is robust with respect to disruptions to the transportation system and unexpected peaks in consumption of vital commodities in the aftermath of a disaster.
Keywords
disasters; radiofrequency identification; telecommunication network management; telecommunication network planning; New Orleans; RFID-based inventory management framework; Whybark; efficient emergency relief operations; emergency disaster management; emergency shelters; emergency supply real-time tracking; harm reduction; humanitarian emergency inventory management system; monitoring systems; offline planning strategy; online control techniques; radiofrequency identification devices; stored vital commodity management; superdome shelter; transportation system; vital commodity consumption; Inventory control; Inventory management; Planning; Radiofrequency identification; Safety; Transportation; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on
Conference_Location
Anchorage, AK
ISSN
2153-0009
Print_ISBN
978-1-4673-3064-0
Electronic_ISBN
2153-0009
Type
conf
DOI
10.1109/ITSC.2012.6338812
Filename
6338812
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