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.
FDA’s FSMA Section 204(d) rule requires traceability for critical high-spoilage foods, which have been known to carry foodborne illnesses. If you’re not prepared for the new rule, your competition will be.
FDA’s FSMA Section 204(d) rule requires traceability for critical high-spoilage foods, which have been known to carry foodborne illnesses. If you’re not prepared for the new rule, your competition will be.
Food safety testing is not only required by regulating bodies, it helps prevent contaminated product from getting out the door, harming people and your business.
Food safety testing is not only required by regulating bodies, it helps prevent contaminated product from getting out the door, harming people and your business.
Poor cybersecurity practices can result in disastrous consequences, though many incidents occur through simple mistakes or forgotten equipment settings. We point out some methods to help alleviate the human error that can result in disaster.
Leafy greens have had a checkered past in terms of food safety — it’s been suspected that pre-harvest irrigation water may have spread E. coli and Salmonella to these vegetables.
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.
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.
Over-reacting or not, several consumer groups and clinicians — backed by new data — want phthalates out of the food supply. But is it a doable and practical task?
Artificial intelligence, coupled with machine learning, promises to improve plant operations from sensor level to the enterprise, but adoption has been slow with some overzealous starts.
With the rushed production schedules at plants, having key process information is not the only data needed, but key device data allows scheduled maintenance.