Procedia Computer Science · 2022 · 10 citations · 12 references
EngineeringIndustrial EngineeringManufacturing EngineeringQuality AssuranceQuality EngineeringQuality ImprovementData QualityData Quality ControlIndustrial AutomationManufacturing Information SystemsMonitoringQuality Control In ManufacturingData Quality FrameworksData Quality ManagementInformation QualityInformation Quality CapabilityManufacturingOperational Excellence MeasurementOperational Excellence MetricsQuality Monitoring
AI becomes a key enabler for Industry 4.0. Data / information quality become a real cornerstone on the overall process from user expectation to products / systems / solutions in a consistent perspective in order to ensure quality of the manufacturing production. This paper highlights some key characteristics in terms of information quality required to implement an effective AI based monitoring framework, in order to achieve operational excellence in Industry.
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Requirements for Data Quality Metrics
Bernd Heinrich, Diana Hristova, Mathias Klier et al. · Journal of Data and Information Quality · 2017 · 104 citations