Order Sequence Optimization for Rack Transfer Efficiency
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Solution Overview
Problem
Conventional rack transfer systems in logistics, particularly in B2B settings, lack the ability to efficiently rearrange order processing sequences and pre-determine rack assignments to improve the simultaneous picking ratio and overall work efficiency, especially when dealing with large orders that can be changed before a shipping deadline.
Innovation Solution
An information processing device determines the processing sequence of orders and assigns racks in advance by analyzing rack and order data, using priority calculations and hierarchical clustering to optimize the simultaneous picking ratio, thereby improving the efficiency of rack transfer and picking operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If orders are processed sequentially in real-time as they are added, then the system operates with simple real-time processing, but the simultaneous picking ratio remains low and rack transfer efficiency is suboptimal
Solution Approach 1:
The system performs preliminary actions by determining the processing sequence of multiple orders and assigning racks in advance before actual picking operations begin. This allows the system to optimize rack assignments and group orders that can be picked simultaneously, thereby improving the simultaneous picking ratio without requiring complex real-time adjustments during operation.
2Adaptability or versatility
If the system accepts a large number of orders at the same timing with changeable processing sequences, then order flexibility is improved, but conventional systems lack the capability to efficiently rearrange and optimize the processing sequence
Solution Approach 1:
The system implements dynamic order sequence determination by calculating optimal processing sequences based on rack assignments and order characteristics. This allows the system to adaptively rearrange order sequences to maximize simultaneous picking opportunities and improve rack transfer efficiency, rather than following fixed sequential processing.
3Ease of operation
If rack assignments are determined dynamically during processing, then real-time adaptability is improved, but the number of rack movements increases and operational efficiency decreases
Solution Approach 1:
The system determines rack assignments in advance before picking operations begin, rather than making dynamic assignments during processing. This preliminary rack assignment allows the system to group orders that can be picked from the same racks, thereby reducing the number of rack movements required and minimizing time loss during actual picking operations.
Data Source
AI summary
According to an embodiment, an information processing device includes one or more hardware processors configured to, based on a plurality of pieces of rack data including first identification information of one or more kinds of products housed in each of a plurality of racks, determine: a processing sequence of 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; and one or more of the plurality of racks for picking a product identified by the second identification information for each of the plurality of pieces of order data.