How AI and IIoT can Improve Manufacturing Processes?

CIO Applications| Monday, May 24, 2021

One major advantage of AI in the automotive industry is the predictive maintenance of machinery. Machine repair is usually costly and time-consuming.

FREMONT,CA: Artificial intelligence has been disrupting industries while also making them more flexible and effective. The manufacturing industry has also benefited greatly from the introduction of artificial intelligence and digital transformation. Industrial IoT is also essential in the manufacturing industry, where it improves supply chain visibility, inventory management, and product quality.

What can AI and IIoT do?

One major advantage of AI in the automotive industry is the predictive maintenance of machinery. Machine repair is usually costly and time-consuming. However, with predictive maintenance, AI algorithms can anticipate malfunctions ahead of time, avoiding costs and downtime. Machine learning models can detect irregularities in machinery operation and apply precise corrective steps with less human intervention. With the introduction of Industrial IoT, the communication between machines grows, allowing predictive maintenance to be applied to a broader range of machines. IIoT sensors play an important role in predicting and tracking system conditions.
With emerging innovations such as AI, IIoT, and data analytics, better supply chain visibility and management are now possible. Since IIoT is based on sensors, real-time logistics and transportation monitoring becomes simpler and faster. AI will use the data from these sensors to estimate travel time and recommend alternate routes in the event of a problem. To improve efficiency and business objectives, AI and IIoT work together to optimize the supply chain and forecast consumer demand for goods.

IIoT sensors can analyze products and provide observations that enable us to understand design flaws and predict the effect of external factors such as temperature. Furthermore, AI and computer vision can be used to improve quality management. Employees will be able to see and inspect goods at different stages of growth, and AI/ML algorithms will be able to use the images to detect anomalies such as leaks, crevices, bruises, deformations, and so on. Using computer vision to minimize faulty goods and encourage a healthy manufacturing environment is beneficial. Via continuously monitoring devices, IIoT combined with computer vision can increase the visibility of business operations and refine decision-making.