Order Processing Sequence Optimization for Rack Picking Efficiency
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Solution Overview
Problem
Conventional rack transfer systems in logistics lack the ability to efficiently rearrange order processing sequences to maximize the simultaneous picking ratio from a single rack, leading to suboptimal efficiency in rack transfer and picking work, especially in B2B scenarios where orders are given in advance and can be changed before shipping deadlines.
Innovation Solution
An information processing device with a reception unit, priority calculation unit, generation unit, distance calculation unit, determination unit, and output control unit that receives rack and order data to determine an optimal processing sequence for orders, increasing the simultaneous picking ratio by prioritizing racks with matching products and performing hierarchical clustering to group orders for efficient allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If orders are processed sequentially in real-time as they are added, then the system can handle continuous order flow, but the simultaneous picking ratio from a single rack decreases
Solution Approach 1:
The system performs preliminary actions by receiving and storing multiple orders in advance before processing them. The determination unit pre-calculates the optimal processing sequence by analyzing rack data and order data to identify which orders can be fulfilled from the same rack, thereby increasing the simultaneous picking ratio without requiring real-time sequential processing
Solution Approach 2:
The system dynamically determines the processing sequence based on the specific combination of rack data and order data. The determination unit flexibly adjusts the processing sequence to maximize the ratio of orders that can be picked from a single rack, adapting to different order combinations rather than following a fixed sequential pattern
2Productivity
If the processing sequence is fixed for sequential orders, then the system operation is simple, but the efficiency of rack transfer and picking work is suboptimal
Solution Approach 1:
The determination unit uses feedback from rack data (product locations) and order data (picking requirements) to dynamically determine the optimal processing sequence. By analyzing the overlap between orders and rack contents, the system feedback-adjusts the sequence to maximize simultaneous picking opportunities, thereby improving rack transfer efficiency
Solution Approach 2:
The system changes the processing parameter from fixed sequential order to dynamically optimized sequence. The determination unit calculates and adjusts the processing sequence parameter based on rack and order data, transforming the system from simple fixed-sequence operation to efficient variable-sequence operation that maximizes simultaneous picking ratio
Data Source
AI summary
According to an embodiment, an information processing device includes a reception unit and a determination unit. The reception unit receives a plurality of pieces of rack data including first identification information of one or more kinds of products to be housed in a plurality of racks, and a plurality of pieces of order data including second identification information of one or more kinds of products to be picked from at least part of the plurality of racks. The determination unit, based on the rack data, determines a processing sequence of the plurality of pieces of order data such that a ratio of picking products assigned to pieces of the order data from a single rack is increased. The plurality of racks are able to be moved to a work station where housing containers corresponding to at least part of the plurality of pieces of order data are disposed.