Title: Towards an Auto-ID-enabled framework for manufacturing information sharing systems

Authors: Peng Hu, Zude Zhou

Addresses: Wuhan University of Technology, 122 Luoshi Rd., Wuhan 430070, China. ' Wuhan University of Technology, 122 Luoshi Rd., Wuhan 430070, China

Abstract: The current research on automatic identification (Auto-ID) boosts a broad spectrum of applications in manufacturing. In addition, Auto-ID technology provides a method for a product to retrieve its required information rapidly when it is transmitted through shop floors and the supply chain, during which the information generated by Auto-ID systems can facilitate the ubiquitous scenarios in manufacturing and initial stages of the product|s whole lifecycle such as ordering, design, and production. This paper proposes a framework of the Auto-ID-enabled manufacturing information sharing system (AIDMISS) that allows the seamless and integrated access to manufacturing information (e.g., product information, design information, sales information), as well as the whole lifecycle management of products. Taking advantage of the Auto-ID system, information enhancement can be realised by using the proposed framework to enable the information sharing process in manufacturing activities across an enterprise. From the case study of the clutch manufacturing scenario, the framework shows effectiveness and feasibility to achieve design goals and it is promising for MI sharing systems.

Keywords: automatic identification; autoID; radio frequency identification; RFID; manufacturing information; information sharing; framework; grid technology; computer-aided engineering; CAE; information enhancement.

DOI: 10.1504/IJCAET.2011.040049

International Journal of Computer Aided Engineering and Technology, 2011 Vol.3 No.3/4, pp.292 - 308

Published online: 13 May 2011 *

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