Title: The role of AIDC technologies in product recovery – an information quality perspective

Authors: Ajith Kumar Parlikad, Duncan McFarlane, Mark Harrison, Alan Thorne

Addresses: Institute for Manufacturing, Department of Cambridge University Engineering, 17 Charles Babbage Road, Cambridge CB3 0FS, UK. ' Institute for Manufacturing, Department of Cambridge University Engineering, 17 Charles Babbage Road, Cambridge CB3 0FS, UK. ' Institute for Manufacturing, Department of Cambridge University Engineering, 17 Charles Babbage Road, Cambridge CB3 0FS, UK. ' Institute for Manufacturing, Department of Cambridge University Engineering, 17 Charles Babbage Road, Cambridge CB3 0FS, UK

Abstract: The advent of automated identification and data capture technologies has resulted in the ability to enhance the quality of product information, that is, available to make decisions along the product lifecycle. One of the major impact areas of such a capability is in improving the effectiveness of decisions made during end-of-life product recovery. In this paper, we review some of the key technologies and systems that can be used for managing product information, and compare the capabilities of these technologies from an information quality perspective. We find that radio frequency identification seems to be ideally placed to satisfy most of the requirements posed by product recovery decision making.

Keywords: product lifecycle information management; information systems; product identification technologies; product recovery decisions; product lifecycle management; PLM; AIDC; automatic identification; data capture; information quality; end-of-life products; EOL products; product information; radio frequency identification; RFID.

DOI: 10.1504/IJPLM.2009.031670

International Journal of Product Lifecycle Management, 2009 Vol.4 No.1/2/3, pp.129 - 145

Available online: 17 Feb 2010 *

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