Top 10 companies using AI to enhance its manufacturing
Manufacturing Global takes a look at the top 10 ways artificial intelligence (AI) is enhancing manufacturing capabilities in 2020.
In a recent study conducted by Capgemini — AI in manufacturing operations — the organisations looked at 22 uses cases of artificial intelligence (AI) in manufacturing to determine the best starting point for manufacturers to focus their efforts to adopt the technology.
As a result Capgemini identified three use cases that they believe to be the key areas for manufacturers to start, including: intelligent maintenance; product quality inspection; and demand planning.
In this top 10 we take a look at 10 leading companies within the automotive, consumer products, industrial manufacturing and aerospace and defence sectors utilising these three AI capabilities.
BMW — product quality
Currently within its operations the BMW Group is using AI to analyse component images from its production line for real time identification of deviations from the standard product quality.
General Motors — Intelligent maintenance
Harnessing a computer vision system, General motors analyses images from cameras mounted to assembly robots to spot any early indications of a failing robotic part. For an organisation the size of General Motors this helped the organisation to prevent massive downtime costs which can reach at least US$20,000 per minute.
Nissan — Product validation
In order to ensure it complies with new regulations, Nissan is currently trialing the use of AI to design its cars. The technology is used to modify an existing car, but keeps in mind the effect of the modification.
Carlsberg — Product enhancement
Implementing a ‘Beer Fingerprinting’ project, Carlsberg is developing sensors that have the capability to differentiate between different flavours of beer. Carlsberg processes the data via AI and uses the information to develop new beers as well as enhance the quality of existing beers.
Canon — Product quality inspection
Using a solution that automatically identifies defects, Canon is utilising AI for product quality to analyse images of inspected parts.
Kellogg’s — New product development
has launched an AI system that helps customers decide which recipe should be chosen to make a product of their choice on their website Bear Naked. This technology helps the consumer giant come up with final products that the consumers actually want.
Thales SA — Intelligent maintenance
Thales SA — a leading supplier of electronic systems to aerospace and defence companies — is currently collecting historic and current data relating to part failures. That data is then utilised by AI algorithms to predict potential problems in the future in order to make proactive maintenance decisions for customers.
Nokia — Real time optimisation of process parameters
Launching a video application that uses machine learning, Nokia is using the technology to monitor the assembly line process in its factories in Finland. The technology alerts the operator of inconsistencies so that any issues can be corrected in real time.
Boeing — Product quality inspection
Harnessing computer vision for its aircrafts, Boeing is using the technology to scan various parts of an airplane via an augmented reality headset and other hardware to capture images. The images are sent to a back-end processing platform to detect certain abnormalities.
Bombardier — Real time optimization of process parameters
Partnering with Aurora, Bombardier has strengthened its resource planning and scheduling capabilities using AI enabled tools. With the help of AI Bombardier has the capability to schedule its airplane assembly operations quicker and handle able production rate changes more effectively.
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