Artificial Intelligence in the Chemical Industry

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Chemical Industry Faces Challenges

Chemical manufacturers are constantly looking for ways to innovate so they stay competitive while decreasing operating costs. Chemical manufacturers have a limited number of options in their quest to impact their bottom line. Regulations, the cost and availability of raw materials, and energy costs cannot be changed internally. That leaves changes to the manufacturing process as the best route to increased competitiveness and improved bottom line, and these can be gleaned only from deeper insights into production data. These changes necessarily involve implementing chemical plant production automation and AI.   

AI and Machine Learning in Chemical Engineering

By reducing the time spent on manual work with artificial intelligence, manufacturers can lower costs and increase the time spent on product innovations that help them stay competitive. software products solve the industry’s challenges. Chemical engineering artificial intelligence utilizes the customer’s data to predict the effects on certain processes, enabling the system to then prescribe to the operator what should be changed in the process, and even allowing the system to automatically implement those prescriptions. for Chemical Manufacturing

By implementing chemical industry automation in conjunction with advanced chemical engineering machine learning techniques, can help chemical manufacturers — especially those that don’t have in-house AI resources — to optimize their processes and help them:

  • Improve quality
  • Reduce variability to improve consistency
  • Reduce time-to-value
  • Increase yields
  • Decrease energy usage

Industrial AI helped us achieve something we didn’t think was possible at this time … yield improvements and energy savings up to 7% …

— Rodrigo Quintero, Operations Digital Technologies Manager, CEMEX