SSAB Americas, Mobile, Ala., a division of SSAB Steel in Sweden, announces that it plans to apply artificial intelligence to improve efficiency in its U.S. operations. Through its cost-efficient and flexible steel production system, SSAB Americas plants in the United States have an annual steel production capacity of nearly 2.5 million tons of heavy plate.
Artificial intelligence company Noodle.ai will focus on applying its Enterprise AI applications to enable probabilistic, pattern-based decisions, rather than deterministic, rules-based decision making. Its Enterprise AI platform and suite of applications are said to allow SSAB Americas to utilize its sensor data and pair it with external data to anticipate and plan for key variables affecting business operations, such as asset uptime, product quality, and production flow. By continuously learning over time, Noodle’s applications can identify patterns in complex combinations and production variations, predict costly product quality issues before they occur, and detect opportunities to ultimately recommend plant-wide optimizations.
“We look forward to implementing new digitalization technologies and to exploring how the application of Enterprise AI can impact our performance and create a competitive advantage,” said Tom Toner, Vice President of Operations for SSAB Americas. “Our goal is to learn how we can increase efficiency and decrease any bottlenecks in our operations with this advanced technology.”
https://www.ssab.com/company/about-ssab/our-business/ssab-americas
