Warehouse Order Assignment Between Picking Pool and Terminals
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Solution Overview
Problem
Existing warehouse order production methods rely heavily on manual operations, leading to low processing efficiency, large stock backlogs, and difficulties in adjusting task orders in real-time, which affects outbound timeliness and customer experience.
Innovation Solution
A method for processing warehouse order tasks that automates the assignment of orders to picking pools or terminals based on production end times, production periods, backlog quantities, and productivity, using attribute information and predictive path planning to optimize order distribution and prioritize high-timeliness orders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual operations are used for warehouse order production, then operational flexibility is maintained, but processing efficiency is low and large stock backlogs occur
Solution Approach 1:
The system enables automated self-service through the determination module and assignment module that automatically evaluate orders, determine production periods, and assign tasks to picking pools or terminals without manual intervention, thereby improving processing efficiency while reducing dependency on manual operations
Solution Approach 2:
The patent replaces manual mechanical operations with an automated information processing system comprising a determination module and assignment module that use algorithmic logic to evaluate orders and distribute tasks, substituting human manual work with automated computational processes
2Adaptability or versatility
If task orders are sequentially issued based on production end time sequence, then outbound timeliness is ensured, but real-time adjustment capability is reduced
Solution Approach 1:
The assignment module dynamically adjusts task distribution based on real-time conditions by evaluating backlog quantities, productivity levels, and production periods, allowing the system to adapt flexibly to changing circumstances while maintaining outbound timeliness through the structured determination framework
Solution Approach 2:
The system incorporates feedback mechanisms where the determination module continuously evaluates order attributes and the assignment module adjusts task allocation based on feedback from picking pool status and terminal productivity, enabling real-time optimization while ensuring timely outbound delivery
3Productivity
If orders are assigned to picking pool based on production period, then batch processing efficiency is improved, but flexibility in handling individual orders is reduced
Solution Approach 1:
The system segments orders into two categories: those assigned to the picking pool for batch processing and those assigned to specific picking terminals for individual handling. The determination module evaluates each order to decide its assignment category, enabling both batch processing efficiency and individual order flexibility through differentiated task distribution
Solution Approach 2:
Different quality of service is applied to different orders based on their characteristics: orders suitable for batch processing receive pool assignment for efficiency, while orders requiring individual attention receive terminal assignment for flexibility. This local differentiation optimizes both batch processing and individual order handling
Data Source
AI summary
A method for processing a warehouse order task, comprising: determining a production end time of an order to be processed; determining a production period of a batch task that the order to be processed belongs to; determining whether to issue the order to be processed to a picking pool according to the production end time and the production period; in response to determining not to issue the order to be processed to the picking pool, assigning the order to be processed to a picking terminal according to a backlog quantity of orders to be outbound and an outbound productivity; and in response to determining to issue the order to be processed to the picking pool, assigning the order to be processed to a picking terminal according to an order quantity of the batch task and a batch completion efficiency.