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Users in manufacturing willing to apply machine-learning-based (ML-based) data analytics face challenges related to data quality or to the selection and configuration of proper ML algorithms. Current approaches are either purely empirical or reliant on technical data. This makes understanding and comparing candidate solutions difficult, and also ignores the way it impacts the real application problem...
Agility is a critical success factor for manufacturers in today's volatile global environment and requires employees monitoring their performance and reacting quickly to turbulences. Thus, comprehensive information provisioning on all hierarchy levels is neces- sary. Yet, existing IT systems, e. g., Manufacturing Execution Systems, scarcely address information needs of workers on the shop floor level...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.