Dynamic Order Allocation Strategy for Workstation Efficiency
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Solution Overview
Problem
Current order allocation methods in warehousing systems are inefficient due to the lack of consideration for various influencing factors, leading to irrational order dispatching and low shipment efficiency.
Innovation Solution
A method that determines order information and current order-receiving strategies for each workstation, allocating orders based on matching strategies and attributes, with adjustable priorities to optimize order processing and distribution, including grouping orders and adjusting strategies based on workload and workstation capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If common order distribution methods are used, then the system can process orders, but the order dispatching is irrational and shipment efficiency is low
Solution Approach 1:
The patent implements dynamic order-receiving strategies that adjust in real-time based on workstation status, order characteristics, and system workload. The allocation system continuously monitors and adapts distribution parameters, transitioning from static to dynamic control to optimize shipment efficiency while managing complexity through adaptive algorithms.
Solution Approach 2:
The system changes multiple parameters simultaneously including order-receiving strategy selection, workstation capacity thresholds, priority levels, and allocation weights. By adjusting these parameters based on real-time conditions, the system achieves rational order dispatching that improves shipment efficiency without requiring overly complex manual intervention.
2Reliability
If multiple influence factors are considered in order allocation, then the rationality of order dispatching is enhanced, but the complexity of the allocation system increases
Solution Approach 1:
The patent segments the order allocation system into modular components: order information determination, strategy selection, matching evaluation, and allocation execution. Each module handles specific influence factors independently, allowing the system to consider multiple factors for high dispatching rationality while managing complexity through structured modularity and clear separation of concerns.
3Productivity
If orders are allocated based on workstation capabilities, then workload distribution is optimized, but the time required for strategy matching increases
Solution Approach 1:
The system performs preliminary actions by pre-establishing multiple order-receiving strategies for each workstation and pre-calculating matching criteria. When orders arrive, the system quickly matches them against pre-prepared strategies rather than creating strategies from scratch, significantly reducing strategy matching time while maintaining optimized workload distribution based on workstation capabilities.
Data Source
AI summary
The present disclosure provides a method for allocating an order, device, electronic equipment, and storage medium. The method for allocating an order includes: determining order information of an order to be allocated; determining a current order-receiving strategy of each workstation; and allocating the order to be allocated to a target workstation according to the current order-receiving strategy of each workstation and the order information, where the order to be allocated meets the current order-receiving strategy of the target workstation.