Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32847
Title: An intelligent information infrastructure to support the streamlining of integrated logistics workflow
Authors: Ho, GTS
Lau, HCW
Ip, WH 
Ning, A
Keywords: Data interchange
Intelligent information infrastructure
Neural networks
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Issue Date: 2004
Publisher: Wiley-Blackwell
Source: Expert systems, 2004, v. 21, no. 3, p. 123-137 How to cite?
Journal: Expert systems 
Abstract: In today's competitive environment, rapid advances in economic globalization and information technology have forced many organizations to anticipate and respond to increasing volatility and competitive pressures. Numerous researches have focused on developing techniques on the analysis, design and management of whole logistics chains in particular in the domain of data mining, data analysis and data classification. While the data mining techniques and computational intelligence techniques are good independently for solving specific tasks, they can be synergized through the formation of an integrated and unified model, which can take advantage of the goods and offset the flaws of the two techniques. In this paper, an intelligent information infrastructure, which is characterized by its ability to encompass a rich collection of knowledge representation formalisms for dealing with a logistics information flow problem, is presented. Such intelligent information infrastructure includes a two-step strategy that embraces the combination of online analytical processing and neural networks to support knowledge discovery. In addition, extensible markup language is used to support the overall infrastructure, in order to facilitate the seamless data interchange within an enterprise.
URI: http://hdl.handle.net/10397/32847
ISSN: 0266-4720
EISSN: 1468-0394
DOI: 10.1111/j.1468-0394.2004.00269.x
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