Technological interventions in the manufacturing segment

The manufacturing industry has always been driven by technological advances and innovations. From big data analytics to advanced robotics, the revolutionary advantages of fashion, technology are helping manufacturers reduce human intervention, improve plant productivity, and gain a competitive advantage.

Sophisticated technologies such as AI, Internet of Things and 3D printing, among others shape the future of manufacturing by reducing production costs production, improving the speed of operations and reducing errors. productivity is key to the success of a manufacturing plant; it is expected that individual manufacturers will make significant investments in these technologies.

Here are five technological interventions that are driving growth in the manufacturing industry

  1. Industry 4.0: The Internet of Things (IoT) is rapidly deploying in the industrial and manufacturing domains, allowing plant owners to increase productivity and reduce complexity. By 2020, the number of devices connected to the Internet will reach 25 billion. IIoT is a combination of several technologies, such as machine learning, big data, sensor data, cloud integration, and machine automation. Technologies are used in predictive and proactive maintenance, real-time monitoring, resource optimization, supply chain visibility, inter-facility operations analysis and security to minimize downtime and improve the efficiency of processes by plant managers. It is essential that the plants function properly for routine maintenance and repairs. However, not all equipment and devices require the same maintenance. IIoT allows plant managers to monitor equipment conditions and perform predictive maintenance. Tracking their real-time performance allows them to plan for maintenance when needed, reducing unplanned downtime and the likelihood of losing productivity.
  1. Big Data Analytics: Big data analytics can provide many ways to improve asset performance, streamline manufacturing processes, and facilitate product customization. A recent survey by Honeywell found that 68% of American manufacturers already invest in big data analytics. These manufacturers can inform decisions using data and productivity efficiency data provided by big data analysis, reducing operating costs and increasing overall performance.
  2. AI and machine learning: For decades, manufacturers have used robotics and machining to increase productivity and reduce unit production costs. . and machine learning seems to be the next wave of manufacturing.AI is assisting production teams in analyzing data and using knowledge to replace inventory, reduce operating costs, and provide quality control throughout the manufacturing process. The era of intelligent robots engaged in cyclical production tasks is over. AI and machine learning enable robots and humans to collaborate, creating a smart manufacturing process that learns, improves, and makes intelligent manufacturing decisions. As a result, manufacturers can use industrial robotics and intelligent automation to manage routine tasks and focus their time and resources on revenue. creating tasks such as research and development, expanding product lines, and improving customer service.
  • 3-D printing: 3-D printing or additional layer manufacturing technology is expected to have a major impact on high-end industries such as aerospace, mining, machinery, automobiles, firearms, commercial and service machinery, and other industrial equipment. This revolutionary technology allows manufacturers to build physical products from complex digital designs stored in 3D computer-aided design (CAD). Materials such as rubber, nylon, plastic, glass and metal can also be used to print real objects. Unlike the traditional manufacturing process, 3D printers can create complex shapes and designs at no extra cost, offering more. In addition, the growing applications of 3D printing are leading to manufacturing as a service (Maas), which eliminates the need for companies to maintain existing infrastructure that meets the needs of multiple customers and eliminate the need to purchase new equipment.
  • Virtual Reality (VR): simplifies the product design process, eliminating the need for complex prototypes. VR designers and engineers allow them to create realistic product models, view their designs digitally, and solve potential problems before they start production. . Customers can review and interact with these digital designs, simulations, and integrated devices, greatly reducing design time. For example, automotive manufacturers are using virtual reality to ensure that cars are tested at the beginning of the vehicle development process, reducing the time and costs associated with changing design, tolerance and safety features.


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