Items Tagged with 'integration'

This visual overview, featuring images and videos of robotics applications in the food industry, illustrates what is possible with modern vision systems, artificial intelligence and robotics in a range of applications — from agricultural harvesting to serving up RTE meals, smart palletization and carcass cutting.

The world of smart packaging comprises many parts — intelligent equipment, recyclable materials, captivating art and lots of data — but pulling it together is a challenge. However, if done correctly, it benefits everyone in the supply chain from producer to consumer with timely information.

The acquisition strengthens ONDEX's process automation capabilities, adding DCS and PLC programming, OT/IT networking, electrical design, instrumentation, panel fabrication and plant-wide control system expertise.

AI is revolutionizing manufacturing with applications in predictive analytics and product development. Despite challenges like data silos and integration, progress is being made towards agentic AI. Discover how companies are adapting and what the future may hold.

Overall equipment effectiveness (OEE) remains the go-to benchmark for gauging performance, but raising OEE requires more than tracking metrics. It calls for a holistic approach that combines robust planning, skilled people and seamless digital integration.

To transform the raw data captured by the PXT into actionable insights, food processors need an image-analysis solution — and that’s what the SimulTask PRO delivers.

The integration of MOM and MES offers a transformative potential for manufacturing operations. By integrating these systems, companies can achieve enhanced operational visibility, improved efficiency and better decision-making capabilities.

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.

“One-up, one-down” should be good enough for supply chain members, but regulatory bodies need to see the big picture.

It wasn’t that long ago that a guru was needed to plan production for products based on manually recorded sales and inventory levels.