OEE

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Artificial intelligence-powered PLM can make accurate projections about planning new products, introducing them to the market and looking at all the factors a processor might miss in execution.

The food manufacturing sector is rapidly embracing automation and data-driven tools, with companies like Tyson Foods and Goodman Fielder leading the charge. From reducing labor costs to streamlining operations with advanced SCADA and MES platforms, the industry is leveraging cutting-edge technology to address workforce challenges, boost efficiency, and drive sustainable growth.

A well-thought-out strategy can maximize the benefit of having the right sensors in the right place with the right controls.

By embracing TSN, food and beverage companies not only improve their OEE but also set the stage for a future where production lines are not just automated but intelligently interconnected and extremely flexible.

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New remote service tools and robust asset management platforms enable food and beverage companies to envision AI-based strategies and facilitate product innovation across the enterprise.

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.

As packaging has become significantly more complex and consumers more demanding, the need has only grown for strict hygienic procedures to ensure food safety, from the factory to the retail shelf to the table.

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The incredibly demanding operating application and washdown conditions, along with food safety concerns and regulations, have driven a shift toward IP69K-rated products.