Automation

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Food giants are closing legacy plants and building greenfield facilities to achieve higher volumes, greater flexibility and increased margins. So how are plant managers and corporate leadership executing, managing and delivering data to help operators find accurate KPIs and OEE metrics?

Many food manufacturers may not know where to begin implementing AI, and new research from IFS shows they’re not alone. However, to realize gains and stay competitive, getting started is key. 

Starting with a clean slate to build your packaging line may be easier than incrementally adding automation, but you must know your products intimately and define your wants and needs of the line — and in the future.

With the virtual twin in place, teams can “fly through” the factory before it exists, test different layouts, and watch the flow of parts, people and robots to see where space, time or energy will be wasted.

Regulatory bodies say you need to monitor temperature in your cold storage facilities and leave a lot of leeway in how and when to do it. Fortunately, the most rudimentary capabilities of today’s wireless temperature devices and data collection systems more than meet regulatory demands.

Cyngn's collaboration with G&J Pepsi will focus on deploying DriveMod solutions to automate material handling tasks within G&J Pepsi's facilities.

The AI-powered robot uses advanced sensors and real-time data collection to detect equipment and safety risks, helping keep operations running smoothly while protecting the people behind them.

Here’s a look at just a few of the equipment solutions exhibitors will introduce or highlight at the show.

For its 10th annual State of Smart Manufacturing Report, Rockwell Automation surveyed 1,560 manufacturing leaders about the internal and external challenges they face and how they’re using technology to address them.

By adopting the right technology and building them into scalable, repeatable processes, manufacturers can see positive impacts on their bottom line.