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This document discusses supervised manufacturing and factory analytics. It introduces concepts like sensors, devices, networks, intelligent systems, IoT, data, analytics, machine learning, edge computing, automation, and security in the context of digitally transforming manufacturing. It describes collecting data from machines and sensors, storing it in a database/data lake, and analyzing it using cloud services. Key performance indicators like OEE (Overall Equipment Effectiveness), throughput, yield, downtime reasons, and condition monitoring are discussed. Modules for OEE, quality management, predictive maintenance, and financial analytics are also mentioned.









