Top 3 AI Use Cases in Manufacturing

The following are three AI use cases in manufacturing:

Predictive Maintenance: Manufacturers leverage AI technology to identify potential downtime and accidents by analyzing sensor data. AI systems can help predict when functional equipment might fail, allowing for scheduled maintenance and repair before a failure occurs. This approach improves efficiency while reducing the cost associated with machine-based failures.

Generative Design: Generative design uses machine learning algorithms to mimic an engineer’s approach to design. Designers or engineers input parameters such as materials, size, weight, strength, manufacturing methods, and cost constraints into generative design software. The software then generates thousands of design options for a single product, enabling rapid exploration of possibilities.

Price Forecasting of Raw Materials: The extreme price volatility of raw materials has always been a challenge for manufacturers. AI can help forecast raw material prices, allowing manufacturers to make informed decisions about procurement and production planning.