Description: Connected manufacturing refers to a system where manufacturing processes are interconnected through digital networks, allowing real-time data exchange and collaboration. This approach integrates advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and data analytics, enabling companies to optimize their operations, improve product quality, and reduce costs. In connected manufacturing, machines, sensors, and management systems are interrelated, facilitating continuous monitoring of production processes. This not only allows for quick responses to production variations but also fosters data-driven decision-making. The ability to collect and analyze information in real-time transforms how companies manage their supply chains, enhance operational efficiency, and respond to market demands. Furthermore, connected manufacturing promotes product customization, as companies can tailor their production processes to meet specific customer needs. In summary, connected manufacturing represents a paradigm shift in the industry, where digitalization and connectivity are essential for achieving competitiveness in an increasingly demanding global environment.
History: Connected manufacturing began to take shape in the late 2000s, driven by advancements in digital technologies and the growing need for companies to optimize their processes. The introduction of the Industry 4.0 concept in 2011 at the Hannover Fair marked a significant milestone, as it promoted the integration of cyber technologies into manufacturing. Since then, connected manufacturing has rapidly evolved, with the adoption of IoT, big data, and predictive analytics, enabling companies to enhance their efficiency and competitiveness.
Uses: Connected manufacturing is used in various applications, such as real-time production monitoring, predictive maintenance of machinery, supply chain management, and product customization. Companies can use connected sensors and devices to collect data on machine performance, allowing them to anticipate failures and optimize downtime. Additionally, it facilitates collaboration between different departments and business partners, improving communication and efficiency.
Examples: An example of connected manufacturing is Siemens’ plant in Amberg, Germany, where IoT technologies are used to monitor and optimize the production of automation systems. Another case is General Electric, which implements data analytics in its wind turbines to predict necessary maintenance and maximize operational efficiency.
