A Conceptual Architecture of Anticipative Event Management System for Manufacturing

Event management is imperative for manufacturing enterprises. Manufacturing events have to be captured, categorized, analyzed and acted upon in real-time fashions. This paper presents the concept of anticipative event management (AEM) which is a new approach to manufacturing event management. AEM focuses on predicting the events that are going to happen and the actions that can be taken based on the event nature and information available. This paper proposes a conceptual architecture of AEM systems with intelligent self-recovery capability. Three major components in the system architecture are described: Event Monitor and Filtration, Intelligent Event Manager, and Intelligent Self-Recovery Engine. The paper also presents the results that apply the AEM concept to the application of material handling systems.

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