2019
DOI: 10.1016/j.procir.2019.02.085
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Approach for an event-driven production control for cyber-physical production systems

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Cited by 14 publications
(8 citation statements)
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“…To realize the detection of deviations and their impacts, the DSS must analyze the acquired production data (FR dod [1][2][3][4]. This again includes the four data types [38]. The identified events must then be categorized (FR dod 5) in order to present the cause of the events and to be able to react to the events [22,39].…”
Section: Requirementmentioning
confidence: 99%
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“…To realize the detection of deviations and their impacts, the DSS must analyze the acquired production data (FR dod [1][2][3][4]. This again includes the four data types [38]. The identified events must then be categorized (FR dod 5) in order to present the cause of the events and to be able to react to the events [22,39].…”
Section: Requirementmentioning
confidence: 99%
“…Exemplary event categories may include machine breakdowns or deviating set-up and production times. Furthermore, the system needs to display the categorized events to the user (FR dod 6) [38]. For each of the detected events, the impacts must further be determined (FR dod 7) and indicated to the user (FR dod 8; e.g., downtime of a machine) [38].…”
Section: Requirementmentioning
confidence: 99%
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