IoT-in-Manufacturing:-The-Ultimate-Guide--vInnoavate-Technologies
More robust demand for personalization, rising consumer expectations, and the complexity of the global supply chain all urge firms to discover new, more inventive methods to compete. Businesses use digital transformation to boost efficiency and learn new methods to improve manufacturing and supply chain processes.
The Industrial Internet of Things (IIoT) is a method of digital transformation in manufacturing. Industrial IoT combines a network of sensors to collect essential production data and cloud software to transform that data into useful insights about the effectiveness of manufacturing processes.
According to CGI's research, 62 percent of surveyed industrial businesses are already implementing digital transformation pilots and initiatives.
According to Bsquare's annual IIoT maturity study, 86 percent of firms have already deployed IIoT solutions, and 84 percent view IIoT as highly effective
According to McKinsey, IoT applications in the industry would produce $1.2 to $3.7 trillion in economic value annually by 2025.
Adoption of IIoT in Manufacturing:
The following are the primary adoption drivers for industrial IoT solutions:
Cost-cutting:
Companies minimize operating expenses and generate new income streams through improved asset and inventory management (resulting in lower inventory carrying costs and search times), less machine downtime, more flexible operations, and more effective energy usage. Smart, linked products, for example, enable the move from selling items to selling experiences—product consumption and post-sale services.
Reduced time to market:
Product cycle time can be reduced via faster and more efficient production and supply chain processes. For example, Harley-Davidson used IIoT to restructure their York, PA production facility, reducing the time it takes to create a motorcycle from 21 days to 6 hours.
Mass personalization :
The mass customization process necessitates a significant growth in the variety of generated stock items, which causes inventory to rise and diversify. Manufacturing activities have become increasingly sophisticated as well. Tracking inventories and production activities become time-consuming and, in some situations, impossible. IIoT enables mass customization by providing real-time data for smart forecasting, shop floor scheduling, and routing.
Increased security :
IIoT contributes to a safer workplace. When combined with wearable devices, IIoT enables the monitoring of workers' health and harmful actions that might result in accidents. IIoT addresses safety issues in potentially dangerous locations in addition to assuring worker safety. For example, in the oil and gas industry, IIoT is used to monitor gas leaks as they flow through the pipe network.
Summary:
So, in this blog, we learned about the relevance of IIOT in today's manufacturing process and how it may help the manufacturing industry run more efficiently.
Some of the things IIot will aid with include cost reduction, increased security, mass personalization, and decreased manufacturing time.
In subsequent blogs, we will examine the impact of IIoT on several aspects of the manufacturing process in depth.
According to CGI's research, 62 percent of surveyed industrial businesses are already implementing digital transformation pilots and initiatives.