“Manufacturing companies are coming to realize just how important this tool can be to create a more efficient supply chain. Recent advancements in AI and data analytics have allowed manufacturers to eliminate potential bottlenecks and improve quality management in their manufacturing cycle. Industrial lubrication manufacturers can specifically benefit from this technology in many ways: procurement pattern breakdown, production scheduling, calculation of material requirements, increased efficiency of regularly scheduled maintenance, and increasing forecast accuracy are just a couple of areas that this technology can make a positive impact.” (Chemseed)
“The aim is not to replace formulators, but to automate only those aspects of their activity where it is reasonably practicable to do so. The basic approach taken is to view formulation as a hierarchical planning activity, with deep knowledge represented using a causal model. Formulation decisions are made by rule-bases which mix heuristic knowledge and causal reasoning, together with the facility for formulators to enter their own decisions.” (Elsevier Ltd.)
At the moment, some typical initiatives for the Industrial segment involve equipment downscaling simultaneous to upscaling productivity, realizing greater levels of output per unit of energy consumption. Recognizing said initiative consequently leads to higher strains on lubricants, whether from lesser oil quantities, higher temperatures, accelerated speeds, or larger loads. It’s also worth mentioning that oil is being expected to last longer stretches before needing to be changed. Such elements decrease equipment downtime and boost production while decreasing waste oil and accompanying disposal costs.
“I understand the importance of a worldwide movement toward a lower-carbon future. Our company plans to continue supporting client needs while tackling the cleaner energy challenge together, playing a part in the complex global challenge of transitioning to a future of less carbon while still meeting the energy needs facing our world today. Artificial intelligence will play a key role in helping companies and industries achieve net zero ambitions. Accomplishing a low carbon future will require more efficient operations that help increase productivity and reduce waste. AI for energy can work toward this with technology designed to optimize efficiency, yielding more economical utilization of resources to accelerate renewable, decarbonization and carbon-negative initiatives across the globe.” (AJ Abdallat for Forbes)
“It’s truly amazing, what this technology is able to do. By combining numeric and symbolic artificial intelligence, we have developed a tool that has unprecedented flexibility in terms of data type and application area within the general lubrication framework. Overall, more reliable predictions – both in terms of properties and test performance – reduce the risk of failure in later stages and significantly cut down on program time and cost.” (AJ Abdallat, Beyond Limits CEO)