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7 - Modeling supply chain network traffic

Published online by Cambridge University Press:  02 November 2009

Stephen B. Miles
Affiliation:
Massachusetts Institute of Technology
Sanjay E. Sarma
Affiliation:
MIT Auto-ID Labs
John R. Williams
Affiliation:
MIT Auto-ID Labs
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Summary

Introduction and motivation

In the future, when the Internet of Things becomes reality, serialized data (typically RFID and/or barcode, based on EPCglobal, DOD/UID, and other standards) can potentially be stored in millions of data repositories worldwide. In fact, large data volumes of serialized information may be coming soon, as the global healthcare industry moves towards deploying anti-counterfeiting standards as soon as 2009. Such data will be sent to enterprise applications through the EPC network infrastructure. The data volume, message volume, communication, and applications with EPC network infrastructure will raise challenges to the scalability, security, extensibility, and communication of current IT infrastructure. Several architectures for EPC network infrastructure have been proposed. So far, most pilots have focused on the physical aspects of tag readings within a small network of companies. The lack of data quantifying the expected behavior of network message traffic within the future EPC network infrastructure is one of the obstacles inhibiting industry from moving to the next level. This chapter presents a simulator aimed at quantifying the message flows within various EPC network architectures in order to provide guidance for designing the architecture of a scalable and secure network.

RFID/EPC technology enables the tracking of physical objects through their lifecycles without direct human involvement. Through the wide range of initiatives, such as the one with retail giants (Wal-Mart and Target), and those with the Food and Drug Administration (FDA), numerous state boards of pharmacy, aerospace companies (Airbus and Boeing), and the Department of Defense (DoD), RFID/EPC/UID has demonstrated its great value for business operation automation.

Type
Chapter
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Publisher: Cambridge University Press
Print publication year: 2008

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References

,FDA, Combating Counterfeit Drugs: A Report of The Food and Drug Administration Annual Update, p. 1 (2005) (http://www.fda.gov/bbs/topics/NEWS/2005/NEW01179.html).
,CIO, Cracks in the Pharmaceutical Supply Chain, p. 1 (2006) (http://www.cio.com/article/16565/Cracks_in_the_Pharmaceutical_Supply_Chain/1).
Reference [1], p. 2.
,FDA, Combating Counterfeit Drugs (2004).
Chrysanthakopoulos, G., and Sing, S., An Asynchronous Messaging Library for C# (http://research.microsoft.com/∼tharris/scool/papers/sing.pdf).

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