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A Specialized multi-agent search engine model for the extended manufacturing enterprise

Oosthuizen O. L., Ehlers E. M.

Journal of Automation Mobile Robotics and Intelligent Systems

2007

Vol. 1, No. 4

59-69

The Internet and Internet search engines have revolutionized the way in which we search for, and integrate information into our daily lives. One of the problems with general Internet search engines is the diversity of contexts queries can assume. Therefore, the construction of context-restricted search engines designed for use within a specialized domain has been proposed (S. Lawrence, 2000). The objective of this article is to suggest a model for a collaborative, personalized meta-search agent system for the virtual manufacturing enterprise in the context of resource location and integration across scope of the extended manufacturing enterprise. The key differences between the proposed model and general search engines are (1) the ability to personalize the search task according to an individual user need, (2) the utilization of similar search sessions through partner collaboration at an information retrieval level, (3) leveraging on existing search services available on the virtual enterprise extranet and (4) autonomous behaviour through the use of intelligent agents. The perceived benefits of a such search agent system for the virtual enterprise are: (1) Enabling a consistent and uniform view of business entities through improved access to information, (2) Simplified access to operational data, (3) Effective access and retrieval of organizational model elements and (4) Improving data location and sharing between trading partners providing a platform for tighter process integration between trading partners. These benefits are critical for effective decision making in a collaborative engineering process followed by the differing entities in a virtual manufacturing organization to ultimately enable final product realization. An evaluation strategy for the COPEMSA system presented is then briefly discussed, metrics for evaluation of focused crawlers and justification for development and implementation of the search system proposed. Finally, this article concludes with remarks about the model presented and future research to be undertaken.