Manufacturing has become an industry where speed is not enough anymore. In today’s world, manufacturers are required to be efficient, provide complete traceability, minimize waste, ensure workers’ safety, and react immediately to any changes in production requirements.
Nevertheless, there is one very common challenge that many manufacturing plants face — lack of visibility about what is happening within the facility.
Where is the forklift?
What production line waits for materials?
What WIP carts are late?
How efficiently do workers move around the facility?
Although these questions seem quite basic, their answers decide whether production is on schedule or experiences delays.
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In today’s manufacturing, it requires constant movement of people, inventory, equipment, and materials. The slightest delay in internal logistics creates a bottleneck affecting the whole process of production.
That’s why more and more manufacturers are turning to Artificial Intelligence (AI) and IIoT technologies.
AI together with RFID, BLE, UWB, RTLS, and smart sensors allows companies to track production assets, inventory, forklifts, AGVs, workers, and material flow in real-time.
Instead of reacting after something goes wrong, manufacturers get predictive insight for optimizing:
Material replenishment
Workforce allocation
Asset usage
Production scheduling
Inventory management
Tracking
Warehouse activities
Production process
Real-time operational insights can ensure regulatory compliance as well as monitor restricted areas, access control, genealogy, and environment.
While Industry 4.0 is still evolving, digital visibility on the shop floor becomes not a nice-to-have but rather a competitive advantage.
Organizations that know what is going on inside their plants in real-time can better minimize downtime, increase efficiency, and make quick decisions.
Read more about AI-enabled plant logistics and industrial visibility at https://plantlogai.com/
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