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Sun, Oct 9, 9:00 - 9:25, Governors D     Paper (refereed)
Recommended Citation: Vaidyanathan, G.  Automated Identification and Data Collection in Global Supply Chain.  In The Proceedings of the Information Systems Education Conference 2005, v 22 (Columbus OH): §4123. ISSN: 1542-7382.
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Automated Identification and Data Collection in Global Supply Chain

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Refereed8 pages
Ganesh Vaidyanathan    [a1] [a2]
School of Business and Economics
Indiana University South Bend    [u1] [u2]
South Bend, Indiana, USA    [c1] [c2]

Firms have invested in information systems to reduce inventory, cut labor costs, speed manufacturing, improve profitability, and enhance supply chain management. These systems allow companies to compile previously unheard of amounts of information from one end of an enterprise to the other. However, data collection techniques need to be employed to complement these information systems. Automated identification and data collection technologies allow enterprises to track components and parts through assembly, to track equipment and supplies, to speed fulfillment, and to automate purchases. More and more businesses will adopt these technologies in conjunction with existing data-capture tools to achieve the desired benefits. Managers are figuring out where to deploy what technology and their decisions will be the key to achieving the best return on investment. These technologies can work in conjunction with other data-capture solutions to provide businesses with more options to meet specific needs. This paper offers insight to different data capture technologies that offer different capabilities and compares the technologies by exploring various implementation issues.

Keywords: data collection, automated identification, supply chain, SCM, smart label, RFID, barcode

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