Dynamic Order Rollback Combining for Warehouse Slot Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing intelligent warehousing systems face low out-of-warehouse efficiency due to the limited number of slots in the console, which restricts the simultaneous processing of orders and leads to underutilization of robots.
Innovation Solution
The method involves acquiring original orders, searching for unsorted target orders by combining multiple original orders, decomposing selected target orders into original orders, and regenerating new target orders to optimize slot utilization and improve efficiency through dynamic roll-back combining.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple original orders are combined into target orders for batch processing, then out-of-warehouse efficiency is improved, but the complexity of order management increases
Solution Approach 1:
The system segments orders into original orders and target orders, with target orders being combinations of multiple original orders. This segmentation allows batch processing while maintaining traceability of individual original orders within composite target orders, resolving the contradiction between efficiency improvement and management complexity.
Solution Approach 2:
The system implements feedback mechanisms where the control device monitors the processing status of target orders and dynamically adjusts order combinations. When slots become available or processing conditions change, the system feedbacks to recombine or redistribute orders, managing complexity through adaptive control rather than static rigid structures.
2Productivity
If the number of slots in the console is increased to process more orders simultaneously, then processing capacity is improved, but the cost and space requirements increase
Solution Approach 1:
The system merges multiple original orders into single target orders that can be processed together in one slot. By combining orders with common characteristics (same destination, similar processing requirements, or compatible goods), the system achieves higher processing capacity without requiring proportional increases in physical slot numbers, thus improving productivity while controlling space requirements.
Solution Approach 2:
Each console slot is designed to handle multiple different types of orders through the target order mechanism. Instead of dedicating slots to specific order types, slots become universal processing units that can handle any combination of original orders grouped into target orders, maximizing the utilization of existing space while increasing effective processing capacity.
3Reliability
If orders are processed one at a time in sequential manner, then order accuracy is maintained, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-grouping original orders into target orders based on compatibility criteria before actual processing begins. This preliminary classification ensures that orders processed in batches will not conflict with each other, maintaining accuracy requirements while enabling parallel batch processing that reduces overall processing time compared to sequential handling.
Data Source
AI summary
The embodiments of the present disclosure provide an order processing method, apparatus, device, system and storage medium, where the method includes: acquiring an original order to be processed; searching for unsorted target orders, where the target orders are obtained by combining a plurality of original orders; decomposing at least part of the searched target orders into original orders; combining the original orders obtained by decomposition and the original order to be processed to regenerate one or more target orders. The order processing method, apparatus, device, system and storage medium provided by the embodiments of the present disclosure can realize dynamic roll-back combining, so that the newly arrived original order is combined with the currently unsorted target orders, and the out-of-warehouse efficiency is effectively improved.