Artificial Intelligence Industrial Internet of Things based Robotic Warehouse Management System

Streamlining the efficiency, transparency and cost consideration on inbound logistics are critical factors for seamless delivery experience. It is always a challenge for supply chain to match real-time order with its order fulfillment. The cyber-physical solution that is fully visible over the inbound logistics by analyzing the real-time demand and improving racks allocation via collaborative swarm robots is developed.

The synergy between cyber-physical decisions and demand-responsive design can deal with the lack of agility in inbound logistics. Without sacrificing the capacity of order fulfillment performance, the demand-driven re-slotting and order fulfillment is performed simultaneously by the swarm mobile robots. Regarding the discrepancy between order fulfillment demand and predicting of rack re-slotting requirements, mobile robots with swarm intelligence is assigned with different role of tasks. With aids of the cyber-physical warehouse systems, order fulfillment status in actual operations and demand for e-Commerce products are synchronized and connected with “Digital Twin” to cope with the e-Commerce-level. dynamics.

The potential applications of predictive rearrangement racks in robo ic warehouse are using as express smart E-commerce electronic computerized parcel locker and withsmart locker function.