Wayne Labs has more than 30 years of editorial experience in industrial automation. He served as senior technical editor for I&CS/Control Solutions magazine for 18 years where he covered software, control system hardware and sensors/transmitters. Labs ran his own consulting business and contributed feature articles to Electronic Design, Control, Control Design, Industrial Networking and Food Engineering magazines. Before joining Food Engineering, he served as a senior technical editor for Omega Engineering Inc. Labs also worked in wireless systems and served as a field engineer for GE’s Mobile Communications Division and as a systems engineer for Bucks County Emergency Services. In addition to writing technical feature articles, Wayne covers FE’s Engineering R&D section.
It’s one thing to keep a 175-lb. hell-bent individual out of your plant, but blocking this invisible microbial enemy from sneaking in can be a real challenge
Listeria Monocytogenes (Lm) is difficult enough to keep out of a food plant, but once it gets in, the real challenge begins — as it can take up residence in “secret” places that welcome and protect it. Fortunately, processors don’t have to go it alone.
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?
In the AI world, the latest buzzword is “agentic AI,” which replaces — rather than augments — human decision making, but the data AI needs to make such a decision may not yet exist in many facilities.
To make good decisions, people, automation and AI systems need quality data — but to let an AI agent make an autonomous decision without input from operators and key decision makers means a processor needs to have lots of accurate data based on real and known sensory inputs, which may not exist in many plants and enterprises.
Dust in the food and beverage industry is much more than a housekeeping nuisance — it’s directly tied to food safety, product quality, worker safety and regulatory compliance.
Make packaging sustainable by removing plastic and PFAS and replacing them with sustainable paperboard and barrier coatings that are easily recyclable and compostable.
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.
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.
Achieving a high OEE score has been elusive in the past as processors grapple with where to begin in troubleshooting OEE issues. The future of OEE, with the help of AI technology, will help manufacturers find the most miniscule of line problems and be on top of their game.
Today’s filling machines can achieve extremely accurate and precise fills, and real-time monitoring and maintenance prevent wasteful overfills, underfills, and sporadic and inaccurate fills.
Today’s filling machines can achieve extremely accurate and precise fills, and real-time monitoring and maintenance prevent wasteful overfills, underfills, and sporadic and inaccurate fills.
Food safety and quality management systems are a necessity for getting audits together for unannounced food safety inspections, and suppliers of these systems have seen the need to expand coverage to include functionality handled by other software systems. Working together in concert, they save processors repetitive, manual input operations.