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Smart Manufacturing Industry 4.0

Industry 4.0 can solve key challenges facing manufacturers – from extreme supply, demand, and design variability, to emerging markets of one, to the growing need for rapid innovation. Leveraging the principles of Industry 4.0 – and its enabling technologies to automate, integrate, and optimize manufacturing processes – companies can shorten cycle times, improve product quality, and implement efficiency across their operations, as well as grow the manufacturing of highly customized products on a global scale.

What makes all of this possible is the way Industry 4.0 is disrupting – and deepening – the relationships between manufacturing, customers and suppliers. Industry 4.0 shifts manufacturing from isolated, optimized cells of business processes, systems and resources to fully integrated data and product flows across corporate borders.

Advanced Industry 4.0 the Smart Manufacturer

Industry 4.0 is the subset of the fourth industrial revolution that concerns the industry. The fourth industrial revolution encompasses areas which are not normally classified as an industry, such as smart cities for instance.

Smart Industry 4.0

Industry 4.0 is the information-intensive transformation of manufacturing and other industries in a connected environment of data, people, processes, services, systems, and IoT-enabled industrial assets with the generation, leverage, and utilization of actionable information as a way and means to realize smart industry and ecosystems of industrial innovation and collaboration.

Industry 4.0 is a broad vision with clear frameworks and reference architectures, mainly characterized by the bridging of physical industrial assets and digital technologies in so-called cyber-physical systems.

A key role is indeed played by IoT in the scope of Industry 4.0 Industrial IoT with its many components, from IoT platforms to Industrial IoT gateways, devices, and much more. Yet, it’s not just IoT of course: cloud computing (and cloud platforms), big data (advanced data analytics, data lakes, edge intelligence) with (related) artificial intelligence, data analysis at the edge of networks (fog computing and edge computing), mobile, data communication/network technologies, changes in the level of, among others, HMI and SCADA, manufacturing execution systems, enterprise resource planning (ERP, becoming i-ERP), programmable logic controllers (PLC), sensors and actuators, MEMS and transducers (sensors again) and innovative data exchange models all play a key role.

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