You have several data islands of automation, but by giving each data context — and with help from AI — you can keep the aging equipment and gain knowledge of your process.
Plants often have aging equipment that works fine, and it may have sensors, but in many cases that data never connects with data from other siloed processes. Why not connect all the data together with intelligent networks and use AI to get a better understanding of the whole process?
As automation has become increasingly sophisticated, reusable plastic packaging has evolved alongside it. Rather than viewing packaging simply as something that transports products from point A to point B, manufacturers can view it as an integral part of the automated system.
Manufacturers are expanding capacity and modernizing operations amid growing project complexity, tighter schedules and increasing technology demands. Integrated project delivery brings engineering, procurement and construction teams together from the outset, helping improve collaboration, reduce risk and create greater certainty around cost, schedule and facility performance.
For Pearl Crop, a processor of nuts and seeds based in California, seasonal labor pressures prompted a search for a more flexible automation strategy, ultimately leading the company to explore a robot rental model rather than a traditional capital equipment purchase.
AI projects in food manufacturing have slowed due to large-scale data projects delivering limited payoffs, stymying momentum. The next wave of data system integrators is here, providing semantic labeling and data context services and accelerating innovative strategies.
AI projects in food manufacturing have slowed down because large data projects have not provided great results. This has limited progress in the field. Now, a new group of data system integrators is here to help. They offer services like semantic labeling and data context, which can speed up new strategies in the industry.
Some industry conversations fail to distinguish between genuine innovation and long-established automation, leaving plant and supply chain executives to make investment decisions without enough clarity to evaluate what they're actually buying.
Rather than a hodge-podge of sanitation and cleaning records scattered everywhere, why not tie them together digitally so they’re available in minutes or hours rather than days or weeks?
Food manufacturers looking to boost throughput and reduce downtime may be overlooking a critical part of the production line: product movement. Discover how smarter conveyance, accumulation, and hygienic design strategies can improve efficiency, support automation, reduce product damage, and create more resilient operations.
While the mixing and blending of liquid ingredients into a liquid product is an exact, controlled process, combining dry ingredients has unique challenges that have been difficult to control with automation. Finally, sensors and automation are here to help.