Order Processing System for Warehouse Logistics Efficiency
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Solution Overview
Problem
Current order processing methods in warehouse logistics are inefficient and labor-intensive due to the dispersed location of items within large warehouses, leading to increased processing time and manpower consumption.
Innovation Solution
A method and apparatus for order processing that acquires and analyzes storage-bin region and volume information to identify orders with items located within a single storage-bin region and having volumes below a threshold, generating a to-be-selected order set, which facilitates efficient spatial allocation and reduces manual handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a monotonous approach is used for order processing in large warehouses, then the processing method is simple to implement, but the order processing efficiency is low and labor consumption is high
Solution Approach 1:
The patent segments the warehouse into multiple storage-bin regions and divides orders into different types (first type orders with items in single regions, second type orders with items in multiple regions). This segmentation allows different processing strategies to be applied to different order types, improving overall efficiency while maintaining manageable complexity through systematic classification.
Solution Approach 2:
The system performs preliminary analysis of order information to identify first type orders that can be fulfilled from single storage-bin regions before actual picking begins. By pre-identifying and prioritizing these orders, the system prepares optimized picking routes in advance, reducing on-site decision-making complexity and accelerating the picking process.
2Quantity of substance
If items are stored dispersedly throughout large warehouses to increase storage capacity, then the warehouse can accommodate more items, but the time and effort required for item selection and picking increases
Solution Approach 1:
The patent applies local quality by identifying storage-bin regions with high item density and co-location patterns. First type orders are specifically those where all items are located within a single storage-bin region, meaning the system leverages local item groupings to enable efficient picking without requiring workers to traverse the entire warehouse, thus reducing picking time while maintaining high storage capacity.
Solution Approach 2:
The system changes the parameter of order routing by dynamically determining whether to process orders from single-region or multi-region based on item location analysis. By changing the routing parameter to prioritize single-region fulfillment when possible, the system reduces average picking distance and time while accommodating dispersed storage for overall capacity optimization.
3Productivity
If manual handling is used for order processing, then the system is simple to operate, but the manpower consumption is high and processing speed is slow
Solution Approach 1:
The system implements self-service by automatically analyzing order information, determining item locations, identifying optimal storage-bin regions, and generating picking routes without requiring manual intervention. The system autonomously classifies orders into first or second type and determines fulfillment strategies, reducing manpower consumption while maintaining operational simplicity through automated decision-making algorithms.
Solution Approach 2:
The patent replaces manual mechanical handling with an automated information processing system that analyzes order data, determines optimal picking sequences, and guides workers or robots. This substitution of mechanical manual analysis with automated computational analysis increases processing speed while keeping the physical picking operation simple and guided by system instructions.
Data Source
AI summary
Disclosed in the present application is an order processing method and device, a server, and a storage medium. The method comprises: acquiring order information of a to-be-processed order, the order information including storage-bin region information and volume information of at least one item indicated by the order; base on the storage-bin region information and the volume information, determining whether the order satisfies following conditions: the at least one item indicated by the order being located within one storage-bin region and the a sum of the volumes of the at least one item being smaller than a volume threshold; and in response to the order satisfying the conditions, determining the order as a to-be-processed order, to generate a to-be-processed order set.