Robotic Order Consolidation for High-Throughput Batch Picking
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Solution Overview
Problem
Contemporary storage facilities face inefficiencies in order processing due to manual operations, leading to reduced throughput, increased time consumption, and potential for human error, as multiple transport vehicles repeatedly move storage systems between storage areas and operator stations for order fulfillment.
Innovation Solution
A system and method utilizing robotic devices, storage systems, and an order consolidation system controlled by a server to optimize order processing by selecting and consolidating orders based on defined capacity, assigning storage systems to operator stations, and using robotic devices to transport and collect inventory items efficiently, eliminating the need for repeated transportation between storage and operator stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operations are used for order fulfillment, then flexibility and ease of operation are maintained, but time consumption increases and throughput decreases
Solution Approach 1:
The system enables self-service through automated robotic devices that autonomously transport storage systems and perform pick actions without continuous human intervention. The robotic devices navigate independently, position storage systems at operator stations, and execute picking operations based on received instructions, reducing manual labor while maintaining operational flexibility.
Solution Approach 2:
Manual mechanical operations are replaced with automated robotic systems. The robotic devices use automated navigation, positioning, and manipulation mechanisms to perform tasks previously done manually, such as transporting storage systems and performing pick actions, thereby increasing throughput while reducing human labor requirements.
2Productivity
If multiple transport vehicles are deployed to move storage systems, then order fulfillment capability is maintained, but time consumption and operational complexity increase
Solution Approach 1:
Multiple transport functions are merged into a single robotic device that can handle multiple storage systems sequentially. The robotic device transports storage systems from the storage area to operator stations and returns them after order fulfillment, consolidating what would require multiple vehicles into one autonomous unit, thereby reducing transportation time and operational complexity.
Solution Approach 2:
The robotic device operates continuously without idle periods between tasks. After delivering a storage system to an operator station, it immediately returns to collect the next storage system, maintaining continuous productive action. This eliminates waiting time and ensures maximum utilization of the transport resource.
3Adaptability or versatility
If storage systems are repeatedly transported back and forth for multiple orders, then order flexibility is maintained, but time consumption and resource wastage increase
Solution Approach 1:
The system performs preliminary actions by pre-positioning storage systems at operator stations before orders are fully processed. The robotic device brings storage systems to operator stations in advance, allowing operators to prepare for upcoming orders without waiting for repeated back-and-forth transportation, thereby reducing time consumption while maintaining flexibility.
Solution Approach 2:
The system dynamically adjusts the transportation and positioning of storage systems based on real-time order requirements. The robotic device optimizes its routes and timing to deliver storage systems when needed, avoiding unnecessary repeated trips while maintaining the ability to adapt to changing order priorities and requirements.
4Reliability
If manual work is used for each order fulfillment, then operational control is maintained, but time consumption increases and maximum throughput cannot be realized
Solution Approach 1:
The system implements feedback mechanisms where the robotic devices receive real-time instructions from the control system based on order status and storage system locations. The devices report their status and position back to the control system, enabling continuous monitoring and adjustment to maintain operational control while optimizing throughput through automated high-speed operations.
Data Source
AI summary
An order processing system includes a plurality of robotic devices, a set of storage systems, an order consolidation system, and a control server. The control server receives a set of orders for an item, determines a cumulative order quantity of the item, and selects a subset of the set of orders to be opened up for consolidation at the order consolidation system. The control server identifies one the storage systems that stores the item as per the cumulative order quantity and assigns the storage system to an operator station for batch picking of the cumulative order quantity. The control server controls a first robotic device to transport the storage system to the operator station, and a second robotic device to collect from the operator station a first portion of the cumulative order quantity and transfer the first portion to a set of order bins associated with the subset of orders.