As companies seek to enhance precision, increase efficiency and reduce costs, AI-driven computer numerical control (CNC) machining is emerging as a game-changing innovation.
This new odorless and non-staining food grade penetrating oil features the performance of Kroil’s original formula, with the added benefit of meeting NSF-H1 and Kosher food-safe standards.
Over the years, data acquisition systems and sensor technology have made it easier to track and improve OEE scores — now AI and ML can find nuances in data to up performance.
While you can measure and chart OEE manually, today’s AI and ML-based technologies with smart sensors can help processors find the little things that can improve availability, performance and quality — leading to autonomous manufacturing.
Even though new processing and packaging equipment today has maintenance tools built in, proper planning and integration into an enterprise maintenance management system makes repair activities easier to track and helps prevent a stockroom full of expensive parts that are never needed.
AI, machine learning and robotics not only improve product flow, but also can attract young talent that’s grown up with computers and easily adapts to new technologies.
Allagash Brewing Company reports that it has experienced a more than 40% reduction in unplanned work orders since implementing Limble, a CMMS and asset management platform, across its maintenance organization.