Technological innovations and advancements have always driven the manufacturing industry. The revolutionary benefits of mode technologies, which include big data analytics and advanced robotics, are helping manufacturers to reduce human intervention, increase plant productivity, and gain a competitive edge.
Advanced technologies like AI, Internet of Things, and 3D printing will shape the future of manufacturing. They reduce production costs, improve the speed of operations, and minimize errors. Manufacturers are expected to invest heavily in these technologies.
These are five technological innovations that are driving growth within the manufacturing sector
- Industry 4.0: The internet-of-things (IoT), is quickly being used in industrial and manufacturing. It offers plant owners the opportunity to increase productivity while reducing complexity. The number of Internet-connected devices is expected to reach 25 billion by 2020. IIoT is a combination of machine learning, machine learning, big data and sensor data. It also incorporates cloud integration and machine automation. These technologies can be used for predictive and proactive maintenance, resource optimization and cross-facility operation analyses. Not all equipment or devices need the same level of maintenance. Plant managers can monitor the condition of their equipment and plan maintenance. They can plan maintenance around their real-time performance monitoring, which reduces the chance of unplanned outages or productivity loss.
- Big Data Analytics: Big Data analytics is a great way to increase asset performance, streamline manufacturing processes, and allow for product customization. Honeywell recently conducted a survey and found that 68% American manufacturers have already invested in big data analytics. This allows them to make informed decisions based on productivity and waste efficiency data from big data analysis. This helps reduce operations costs and improve overall performance.
- AI and Machine Learning“font-weight 400 ;”>: Manufacturers have used robots and mechanisation for many decades to reduce their production costs and increase productivity. . Machine learning and AI appear to be the next wave of fabrication. Machine learning and AI make it possible to collaborate between robots and humans, creating collaborative manufacturing processes that can learn, improve, and make smart manufacturing decisions.
- 3D Printing: This additive layer manufacturing technology, also known as 3-D printing, is expected to have a significant impact on high-end markets such as mining, aerospace, machines, automobiles and firearms. This technology allows manufacturers to create physical products using complex digital designs stored in 3D Computer Aided Design. You can print real objects with materials such as rubber, nylon and glass. 3D Bio-printing allows for the production of living tissues and organs for medical research. 3D printers are able to create complex shapes and designs without additional costs, which is a significant advantage over traditional manufacturing processes. Manufacturing as a Service (Maas) is a growing industry that uses 3D printing to create complex shapes and designs. This allows companies to maintain a current infrastructure that can meet the needs of multiple clients without the need to buy new equipment.
- Virtual Reality (VR): streamlines product design by eliminating the need to create complex prototypes. Engineers and designers can use VR to create real-life product models. This allows them to visualize their designs and resolve potential issues before they start production. . These digital designs, simulations, or integrated devices can be viewed and manipulated by customers, which greatly reduces the time it takes to design. Automotive manufacturers use virtual reality to reduce the time and cost of changing designs, tolerances, and safety features.