Wayne Labs

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?

Food safety and quality are synonymous and need to fit into the same QC program.

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

Cobots can work safely among people and relieve them of the drudge work nobody wants to do—like cartoning and palletizing.

With the rushed production schedules at plants, having key process information is not the only data needed, but key device data allows scheduled maintenance.

While the vocabulary doesn’t have to be large, each machine should know about stops and starts upstream and downstream.

Industrial heat pumps provide chilling and freezing, and reclaim the heat energy lost in chilling to save money on heating water for cooking and cleaning—but is retrofitting possible?

Unlike wet ingredients, the handling of dry powder ingredients and products usually requires specifically designed process areas to prevent dangerous situations that could result in worker injuries or death.

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.