Earticle

Events are crammed with numerous basic elements in today’s management and manufacturing system. Especially, for a large-scale system, there are thousands of independent messages (events) happening every second. How to integrate the information and how to deal with such massive events are faced by most of the system. Event monitoring and processing has been posed in manufacturing corporations to tackle this challenge. However, well-prepared methodology and processing are lack for this challenge. In this article, we propose an extensible event-driven manufacturing platform for handling those massive events. First, holistic architecture of the platform is depicted. Next, the principle of primitive and complex event is detailed. Eventually, Complex Event Processing (CEP) approach is applied to the platform.

Events are crammed with numerous basic elements in today’s management and manufacturing system. Especially, for a large-scale system, there are thousands of independent messages (events) happening every second. How to integrate the information and how to deal with such massive events are faced by most of the system. Event monitoring and processing has been posed in manufacturing corporations to tackle this challenge. However, well-prepared methodology and processing are lack for this challenge. In this article, we propose an extensible event-driven manufacturing platform for handling those massive events. First, holistic architecture of the platform is depicted. Next, the principle of primitive and complex event is detailed. Eventually, Complex Event Processing (CEP) approach is applied to the platform.