By applying machine learning algorithms, manufacturers can detect errors immediately, rather than at later stages when repair work is more expensive. With minimal investment, quality control personnel can set up a smartphone connected to the cloud to monitor manufacturing processes from virtually anywhere. Replacing manual inspection business models with AI-powered visual insights reduces manufacturing errors and saves money and time. Using high-tech IoT devices in smart factories leads to higher productivity and improved quality. Analyzing the large amounts of big data collected from sensors on the factory floor ensures real-time visibility of manufacturing assets and can provide tools for performing predictive maintenance in order to minimize equipment downtime. This digital technologies lead to increased automation, predictive maintenance, self-optimization of process improvements and, above all, a new level of efficiencies and responsiveness to customers not previously possible.ĭeveloping smart factories provides an incredible opportunity for the manufacturing industry to enter the fourth industrial revolution. Even higher value is created when data from production operations is combined with operational data from ERP, supply chain, customer service and other enterprise systems to create whole new levels of visibility and insight from previously siloed information. These smart factories are equipped with advanced sensors, embedded software and robotics that collect and analyze data and allow for better decision making. Manufacturers are integrating new technologies, including Internet of Things (IoT), cloud computing and analytics, and AI and machine learning into their production facilities and throughout their operations. Industry 4.0 is revolutionizing the way companies manufacture, improve and distribute their products.
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