Hybrid Warehouse Container Transfer for Throughput Spikes
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Solution Overview
Problem
Current robotic warehouse systems face challenges in scalability and efficiency, particularly in human-robot collaboration, as they are designed for complete automation, limiting throughput and requiring manual processes to locate and verify bins, leading to wasted time and inefficiencies.
Innovation Solution
The implementation of a hybrid environment where robots pre-stage items in a specific order for human pickers, using wireless communication and confirmation mechanisms, such as barcode scanning and motion detection, to streamline the transfer of items from one container to another, allowing humans to efficiently move items between bins with robotic assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a completely automated robotic distribution system is used, then automation level is improved, but throughput scalability deteriorates
Solution Approach 1:
The system dynamically switches between fully automated mode and hybrid human-robot mode based on throughput requirements. When maximum throughput is needed, the system transitions to hybrid mode where humans can manually move containers, allowing the system to scale beyond the fixed automated capacity. This dynamic adaptability resolves the contradiction by making the automation level flexible rather than static.
2Adaptability or versatility
If humans manually locate and verify bins, then adaptability is improved, but time consumption increases
Solution Approach 1:
The system provides self-service through automated container identification and verification. Containers are equipped with identifiers that robots can automatically read and verify, eliminating the need for human workers to manually locate and verify bin locations. This reduces time consumption while maintaining the adaptability of the system, as the automated identification can handle various container types and locations.
3Productivity
If robots pre-stage items in specific order, then picking efficiency is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by having robots pre-stage items in the optimal picking order before human workers begin their tasks. This preliminary organization of containers and items eliminates the need for workers to search or rearrange items during picking, significantly improving picking efficiency. The coordination complexity is managed through centralized control that optimizes the pre-staging sequence based on predicted picking patterns.
Data Source
AI summary
A method includes operating, at an initial stage, a fully automated warehouse in which robots handle in an automated way the transfer of items from container to container on an automated basis and receiving an indication of a change in needed throughput through the warehouse. When a spike exceeds a completely automated system threshold, the method implements a hybrid operation for the warehouse, such that (1) the movement of containers in the warehouse anticipates human interaction and a robot having a removable cart is used in the process. The system can schedule humans at particular times to take their turn in manually managing the movement of containers and so remove the cart having containers thereon from the robot for manual delivery of containers to locations. The method includes causing a pre-staging event to occur such that source containers and destination containers can be pre-staged for the characteristics of the worker.