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Active data acquisition for proactive exception handling in manufacturing

机译:主动数据采集,用于制造中的主动异常处理

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摘要

Exception handling is increasingly recognized as a critical capability of today’s enterprises, especially manufacturers, since manufacturing systems have become complex to satisfy ever-changing customer requirements and support collaboration of various supply chain partners. This paper proposes a concept of proactive exception handling as an advanced approach for effective exception resolution as well as exception prevention. Especially, it proposes active data acquisition as a key element of proactive exception handling. The paper introduces a data acquisition language designed by analyzing the information requirements of active data acquisition. It presents the architecture of a system which enables active data acquisition for the language. Finally, the paper illustrates the language and system architecture using examples. The data acquisition language and system can support proactive exception handling by enabling active acquisition that provides the necessary data only when they are actually required without waiting for the data to be provided.
机译:异常处理已日益被认为是当今企业(尤其是制造商)的一项关键功能,因为制造系统已经变得很复杂,无法满足日新月异的客户要求并支持各种供应链合作伙伴的协作。本文提出了一种主动式异常处理的概念,作为一种有效的异常解析和异常预防的高级方法。特别是,它提出主动数据获取作为主动异常处理的关键要素。本文介绍了一种通过分析主动数据采集的信息需求而设计的数据采集语言。它提出了一种系统的体系结构,该体系结构能够主动获取语言的数据。最后,本文通过示例说明了语言和系统架构。数据获取语言和系统可以通过启用主动获取来支持主动异常处理,该主动获取仅在实际需要时才提供必要的数据,而不必等待数据被提供。

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