Technological interventions in the production segment

The manufacturing industry has always been driven by technological advancement and innovation. From big data analysis to advanced robotics, the regime’s revolutionary advantages, technology helps manufacturers reduce human intervention, improve plant productivity and gain a competitive advantage.

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

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

  1. Industry 4.0: The Internet of Things (IoT) is rapidly being implemented in industry and manufacturing, giving factory owners the opportunity to increase productivity and reduce complexity. In 2020, the number of Internet-connected devices will reach 25 billion. IIoT is a combination of different technologies, such as machine learning, big data, sensor data, cloud integration and machine automation. The technologies are used for predictable and proactive maintenance, real-time monitoring, resource optimization, supply chain visibility, analysis of operations of various facilities and safety, which allows plant managers to minimize downtime and improve process efficiency . It is important that the installations work smoothly in order to perform regular maintenance and repairs. However, not all equipment and devices require the same amount of maintenance. IIoT allows plant managers to monitor the condition of equipment and perform forecast maintenance. Their real-time performance monitoring allows them to schedule maintenance when needed, reducing the likelihood of unplanned outages and loss of performance
  1. Big data analysis: Big data analysis can provide many ways to improve asset productivity, streamline production processes, and facilitate product customization. A recent Honeywell study found that 68% of US manufacturers are already investing in big data analysis. These producers can inform the solutions by using data on the productivity and efficiency of the waste provided by big data analysis, reducing operating costs and increasing overall productivity.
  2. AI and machine learning: For decades, manufacturers have used robotics and mechanization to increase productivity and reduce unit production costs. . and machine learning seems to be the next wave in production.AI helps production teams analyze data and use insights to replace inventory, reduce operating costs, and offer seamless quality control over the entire production process. The era of non-intelligent robots engaged in cyclical production tasks is over. AI and machine learning enable robots and humans to collaborate by creating flexible manufacturing processes that learn, improve, and make 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. generating tasks such as research and development, expanding product lines and improving customer service.
  • 3-D printing: Technology for the production of 3-D printing or additive layers is expected to have a huge impact on high-end industries such as the space industry, 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. 3D bioprinting allows the production of living tissues and functioning organs for medical research. Unlike the traditional manufacturing process, 3-D printers can create complex shapes and designs at no extra cost, offering more. In addition, the growing applications of 3D printing in manufacturing are generating manufacturing as a service (Maas), which allows companies to maintain an ongoing infrastructure that meets the needs of multiple customers and eliminates the need to purchase new equipment.
  • Virtual Reality (VR): simplifies the product design process by eliminating the need for complex prototypes. VR designers and engineers create realistic product models that allow them to see their designs digitally and solve potential problems before starting production. . Customers can also view and interact with these digital designs, simulations and integrated devices, which significantly reduces their design time. For example, car manufacturers now use virtual reality to ensure that their cars are tested at the beginning of the vehicle development process, reducing the time and cost associated with changing design, tolerances and safety features.



The views expressed above are those of the author.


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