Shelf Scheduling for Balanced Flow-Based Order Picking
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Solution Overview
Problem
In flow-based picking systems, uneven task distribution among picking staffs leads to reduced picking density and efficiency due to variations in picking speed and unexpected interruptions, resulting in task backlogs and decreased overall performance.
Innovation Solution
A method and apparatus that determine a shelf's scheduling condition based on item quantity and task receipt time, prioritizing transportation to a sorting workstation, optimizing picking density and efficiency through an item-to-staff picking mode using AGVs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If flow-based picking is implemented to improve picking density, then picking efficiency is improved, but uneven task distribution among picking staff reduces overall performance
Solution Approach 1:
The system continuously monitors the quantity of items on shelves and the receipt time of positioning tasks, using this feedback information to dynamically adjust scheduling decisions. This ensures that shelves are transported to sorting workstations based on real-time status, balancing the workload among picking staff and maintaining uniform task distribution while preserving picking efficiency
Solution Approach 2:
The scheduling condition is dynamically determined based on real-time parameters including item quantity on shelves and timing of positioning task receipt. This dynamic adjustment allows the system to adapt to varying picking speeds and interruptions among different staff members, ensuring balanced task distribution while maintaining high picking density
2Speed
If shelves are transported to sorting workstations without scheduling conditions, then task completion speed increases, but picking density and delivery efficiency decrease
Solution Approach 1:
The system performs preliminary assessment of shelves by detecting item quantities and determining receipt times before making transportation decisions. By pre-evaluating whether shelves meet scheduling conditions, the system ensures that only appropriately prepared shelves are transported, maintaining both task completion speed and picking density
3Adaptability or versatility
If manual picking is used to handle task backlogs, then flexibility is maintained, but manual picking pressure increases and efficiency decreases
Solution Approach 1:
The system implements self-service scheduling by automatically detecting shelf status, determining scheduling conditions, and triggering transportation to sorting workstations based on predefined criteria. This automated self-management reduces the need for manual intervention in handling task backlogs, thereby reducing manual picking pressure while maintaining operational flexibility through programmable scheduling rules
Data Source
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AI summary
The present invention provides a logistics order task processing method and apparatus, an electronic device, and a computer medium. The logistics order task processing method comprises: detecting the number of articles, which have received a positioning task, on a goods shelf; determining time for receiving the positioning task; determining, according to the number of the articles and/or the time for receiving the positioning task, whether the goods shelf satisfies a scheduling condition; and transporting the goods shelf satisfying the scheduling condition to a sorting work station pointed to by the positioning task. According to the embodiments of the present invention, the order picking density and the ex-warehouse efficiency are improved, and the recheck overstock amount and the manual order picking pressure are reduced.