Abstract. Performance indicators (PIs) are used to monitor and assess production systems. There are thousands of PIs described in standards or in commercial PI collections; however, the PIs implemented in the factories may differ enormously due to use-case-specific requirements. In this work a reference model is proposed to support the process from a generic description to a use case specific PI implementation. There are two exemplary implementations described utilizing data stream processing and database technologies.
Abstract. In this paper we propose the modeling and visual presentation of dependencies between key performance indicators. By doing this, explicit presentation and analysis of expert knowledge about dependencies between manufacturing processes can be achieved. This enables route-cause analysis and decision support. Further, using multiple techniques for the visual support we provide the user a high user experience, resulting in a quicker analysis and better user acceptance.
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