We’re told to collect as much data from our processes as we can, and there’s practically infinite storage space in the cloud—but how do you make sense of all this data?
With automation and the Industrial Internet of Things (IIoT), it’s now easier than ever to collect data and monitor production—all this in the name of managing food quality and food safety. But, with multiple sites and lines supplying data around the clock, any staff would be all but overwhelmed—without a direction in where to focus their process management efforts.
Precise control over food and beverage production is in the spotlight as health-conscious consumers are increasingly paying close attention to the ingredients and labeling of their products.
When we think of IIoT, we often consider the roles it plays in fine tuning processes to peak efficiency, minimizing downtime through predictive or prescribed maintenance, or acquiring data and processing it to improve food quality and safety. But, we don’t always think of another role IIoT can play, and that is using its capabilities to produce unique products in a very small quantity and package and ship them to individual customers.
Food Engineering's recent Food Automation & Manufacturing Conference addressed several high-tech Industry 4.0 topics, including predictive maintenance (PdM). I’d like to show how you can use IIoT tools to improve your maintenance program—and maybe even better your OEE scores in the process.
Some industry watchers say 2019 should be the year that IoT improves food safety.
April 8, 2019
Industrial IoT technology gives food manufacturers and the food service industry real-time data to identify problems, reduce waste and prevent expensive, brand-damaging outbreaks and recalls.