About adopting event processing in manufacturing

Authors:
Manfred Grauer;Bernhard Seeger;Daniel Metz;Sachin Karadgi;Marco Schneider
Affiliations:
Information Systems Institute, University of Siegen, Germany;Department of Mathematics and Computer Science, Philipps-University Marburg, Germany;Information Systems Institute, University of Siegen, Germany;Information Systems Institute, University of Siegen, Germany;Information Systems Institute, University of Siegen, Germany
Venue:
ServiceWave'10 Proceedings of the 2010 international conference on Towards a service-based internet
Year:
2010

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Abstract

Manufacturing enterprises strive for improvements in their monitoring and control of enterprise processes to sustain competitive advantages. In this context, enterprise integration (EI) across various enterprise levels and event processing are indispensable. However in reality, enabling EI and employing event processing for online monitoring and control of enterprise processes are elusive goals for many of the manufacturing enterprises. In the contribution, a framework for enabling EI is elaborated, which can be considered as a building block towards realizing the aforementioned goals. The framework encompasses various components: data collection engine, data aggregation engine, event processing engine, performance measurement, and offline analysis. This framework can be exploited in enhancing online monitoring and control of enterprise processes by employing event processing. The framework has been implemented and validated in an industrial scenario.