AI is core to Manufacturing's real-time future. Real-time monitoring provides many benefits, including troubleshooting production bottlenecks, tracking scrap rates, meeting customer delivery dates, and more. It's an excellent source of contextually relevant data that can be used for training machine learning models. Supervised and unsupervised machine learning algorithms can interpret multiple production shifts' real-time data in seconds and discover previously unknown processes, products, and workflow patterns.

THE RISE OF THE AI-POWERED COMPANY IN THE POSTCRISIS WORLD, BOSTON CONSULTING GROUP, APRIL 2, 2020
THE RISE OF THE AI-POWERED COMPANY IN THE POSTCRISIS WORLD, BOSTON CONSULTING GROUP, APRIL 2, 2020

The following are ten ways AI is enhancing manufacturing in 2020 based on Capgemini's recently published Scaling AI in Manufacturing Operations: A Practitioners Perspective study and interviews with manufacturers over the first four months of 2020:

  1. 29% of AI implementations in manufacturing are for maintaining machinery and production assets.

  2. General Motors collaborated with AutoDesk to implement generative design algorithms that rely on machine learning techniques to factor in design constraints and provides an optimized product design.

  3. Nokia has introduced a video application that uses machine learning to alert an assembly operator if there are inconsistencies in the production process.

  4. Analyzing images in real-time to complete product quality inspections in the automotive and consumer products industries also helps manufacturers stay in compliance with stringent regulatory requirements.

  5. Improving demand forecast accuracy is showing solid results across multiple industries with Consumer Packaged Goods manufacturers leading all others.

  6. Thales SA, a leading supplier of electronic systems to a wide spectrum of industries, is using machine learning to predict preventative maintenance for high-speed rail lines throughout Europe.

  7. The BMW Group uses AI to evaluate component images from its production line, allowing it to spot, in real-time, deviations from quality standards.

  8. Schneider Electric created a predictive IoT analytics solution based on Microsoft Azure Machine Learning service and Azure IoT Edge to improve worker safety, reduce costs, and achieve sustainability goals.

  9. Nissan is piloting the use of AI to design new models in real-time, hoping to reduce time-to-market for the next-generation model series.

  10. Canon has invented an advanced Asset Defect Recognition system that brings new levels of quality control to its manufacturing centers.

Source: https://www.forbes.com/sites/louiscolumbus/2020/05/18/10-ways-ai-is-improving-manufacturing-in-2020/#592f0c051e85