Manufacturing
Case Studies
Airbus is investing in developing autonomous passenger aircraft
Airbus has set the goal of developing autonomous planes that operate with just one person pilot. It is working with Chinese tech and AI companies in order to make self-driving technologies found in the automotive industry applicable to airplanes. To accelerate the development of the project, which in the future would cut staffing costs down, the company has committed to setting up an innovation hub in Shenzhen, China.
Linked use case: Automate aircraft piloting
BMW increases worker safety and productivity and space utilisation through human-robot-collaboration
BMW is leveraging the KUKA LBR iiwa lightweight robots at its plant in Munich, to assist workers and operators with monotonous and physically strenuous tasks. The otherwise endangering collaboration of human and robots (HRC) has become safer as the lightweight robots are enhanced with AI and machine learning technology, enabling them to be capable of working along humans and being easily programmed. BMW has managed to support its employees while also saving roughly 25% more space, as the robots do not require fences or other safeguards within the factory.
Linked use case: Accelerate and support key processes with improved human-robot collaboration
Big River Steel makes more accurate demand predictions using machine learning
Big River Steel has implemented Noodle.ai''s enterprise AI solution aiming to optimise operations at the company''s new metal recycling and steel production facility in Arkansas. Using machine learning models, the company is able to make demand predictions based on macroeconomic and historical data.
Linked use case: Forecast product / service demand levels
Global manufacturer achieves more than 85% shorter inspection times and real time production feedback using deep learning algorithms for 100% automatic inspection
An unnamed Automotive Parts Manufacturer has deployed Scortex''s quality intelligence solution to automate quality inspection. Using deep learning algorithms the solution has enabled the Manufacturer to monitor key data and have access to important insight for production, while reducing inspection time per part from 8 to 3 seconds.
Linked use case: Predict potential quality issues with products through visual recognition
JD.com unveils world''s first fully automated warehouse in Shanghai
JD.com has built the first fully automated warehouse. Robots carry out all the functions including product entry, storage, packing and sorting handling up to 16000 orders per hour.
Linked use case: Automate warehouse
Jabil eliminates false-positives with automated optical inspection of its manufacturing processes using deep neural networks
Jabil has collaborated with Microsoft to leverage Azure Machine Learning Workbench. The solution extracts real time information from the assembly line to optimise the manufacturing and and quality control processes, using a predictive model. It enables Jabil to achieve manufacturing with more speed and to anticipate issues or proactively deal with them. During early testing, the solution predicted non-defective components with 75% accuracy and successfully identified 92% of defective components.
Linked use case: Predict potential quality issues with products through visual recognition