Food producers are now modeling traditional maintenance data, such as vibration and frequency, and executing machine learning in the cloud with digital twin simulations. Anomalies are being modeled while also providing advanced analytics, reducing downtime and repurposing staff.
At the 2025 Automation Fair, Rockwell Automation CEO Blake Moret noted that manufacturers are enhancing efficiency with automation and AI. Food manufacturers use digital twin and cloud platforms for predictive maintenance, reducing workloads and improving visibility. This article covers strategies for effective implementation.
Bakeries that view bearing selection through the lens of heat stability, contamination control and energy efficiency will reduce disruption and protect both product integrity and margin.
Carryback presents not only a sanitation concern — it also leads to product loss and maintenance challenges. Here are some strategies for recovering product and keeping conveyors running smoothly.
Conveyor carryback is a serious issue in food processing facilities that can disrupt operations if not managed. Many facilities lack effective strategies to handle carryback, risking unscheduled downtime. Operators should implement preventative maintenance measures to minimize its impact.
As expectations continue to rise, organizations that rethink electrical maintenance today will be better positioned to operate safely, reliably and competitively tomorrow.
Over the years, seeking the perfect batch may have seemed like the quest for the Holy Grail, but today, let AI/ML-based batch serve as your experienced guide.
You don’t have to go it alone when searching for and maintaining the perfect batch. Through machine learning and AI-based batch control, the arduous search becomes easier to realize.
Recent outages among internet cloud providers have shown that maintenance and enterprise asset management (EAM) systems need to have a fallback — and fortunately most automation suppliers are ready.
There was a time most maintenance and EAM software operated strictly within a facility or enterprise, but the development of AI and off-premises, cloud-based computing has made it possible to do heavy computing and trending in the cloud. But what happens when the “cloud” goes down?
Success in operational readiness is all about data collection. When predictive maintenance systems are integrated with actionable alert-enabled HMIs, OEE increases.
As machinery ages, what are the options for keeping it running smoothly and extending its lifespan? There are specific best practices that can help food processors extend the life of their machinery.
For food processors, removing suspended solids such as fats, grease, grit, contaminants and leftover process materials from liquids is necessary to comply with regulations like the EPA’s Clean Water Act.