Title: A rule language and framework for RFID data capture and processing in manufacturing enterprise system

Authors: Xiaoyong Su, Rajit Gadh

Addresses: Impinj Inc, 301 N. 34th St, Suite 300, Seattle, WA 98103, USA. ' University of California, Los Angeles, Department of Mechanical and Aerospace Engineering, 420 Westwood Plaza, UCLA, Los Angeles, CA 90095, USA

Abstract: In an RFID-enabled enterprise manufacturing system, diverse RFID devices and varying RFID data formats exist as a result of dynamically changing business operations, varying needs at different physical asset touch points/conditions, etc. This presents a significant challenge in device deployment, device control, RFID data capturing, RFID data integration – that are essential stacks within enterprise manufacturing information infrastructure. It is well known that rule-based methodologies are widely applied for business processing modelling and logic flow control. However, it is not common to apply rules to every stack in an information capturing infrastructure. In this paper, we propose using rules as primary instruction carrier to configure, control, capture, and integrate RFID data in an enterprise manufacturing system. An XML based rule language is defined and a rule execution engine is implemented for this purpose. Computational performance of the execution engine is evaluated against the use case and further improvement is discussed.

Keywords: enterprise manufacturing systems; radio frequency identification; RFID; business rules; data capture; data integration; XML.

DOI: 10.1504/IJIMS.2010.031784

International Journal of Internet Manufacturing and Services, 2010 Vol.2 No.2, pp.111 - 127

Published online: 24 Feb 2010 *

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