Dynamic Warehouse Storage Reorganization for Access Frequency Adaptation
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Solution Overview
Problem
Conventional warehousing and picking systems struggle to react flexibly and quickly to changes in access frequency of articles, particularly in e-commerce environments where customer behavior and sales campaigns frequently alter demand patterns, leading to inefficiencies and stock management challenges.
Innovation Solution
A storage and picking system that reorganizes articles based on access frequency by using modular, standardized shelves that can be easily rearranged and replenished, allowing for automatic and manual picking methods to be combined, with a conveyor system and controller optimizing the placement and movement of storage facilities to match changing demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional warehousing systems use fixed storage arrangements, then system structure is simple and stable, but the system cannot quickly adapt to changes in article access frequency
Solution Approach 1:
The patent implements dynamic storage locations that can be automatically reassigned based on real-time access frequency data. The system transitions from static, fixed storage arrangements to dynamic, flexible assignments where storage locations are continuously optimized according to article demand patterns, enabling quick adaptation without manual reconfiguration
Solution Approach 2:
The system employs automated algorithms that independently analyze access frequency patterns and reassign storage locations without human intervention. The warehousing system serves itself by automatically detecting demand changes and optimizing its own layout, reducing the need for external management while maintaining high adaptability
2Productivity
If manual picking is used, then system complexity is low, but productivity and speed of order processing are limited
Solution Approach 1:
The patent replaces manual mechanical picking operations with automated picking systems guided by digital algorithms. The system uses computer-controlled mechanisms to retrieve articles from storage locations and deliver them to order consolidation points, substituting human labor with automated mechanical systems that operate at higher speeds and consistency
Solution Approach 2:
The system implements real-time feedback loops where order processing data is continuously monitored and used to adjust picking routes, storage assignments, and resource allocation. This feedback mechanism enables the system to learn from past performance and continuously optimize productivity while managing complexity through data-driven decision-making
3Adaptability or versatility
If storage locations are fixed according to initial ABC analysis, then initial setup is simple, but the system cannot respond to frequent changes in customer behavior and sales campaigns
Solution Approach 1:
The system performs preliminary actions by pre-calculating and pre-positioning high-demand articles in optimal storage locations before peak demand periods occur. The automated system continuously monitors demand patterns and proactively reassigns storage locations in advance, ensuring that high-access articles are already in optimal positions when demand spikes occur, eliminating reorganization delays
Solution Approach 2:
The patent implements dynamic, real-time reassignment of storage locations based on current demand patterns. The system continuously updates storage assignments as access frequency changes, allowing immediate response to new customer behaviors or sales campaigns without the time loss associated with manual reorganization processes
Data Source
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AI summary
The invention relates to a warehouse and picking system (10) in which articles of varying access frequency categories (154) are stored and picked and which comprises: a plurality of transportable shelves (14; 160; 170); a plurality of transport vehicles, configured to transport the shelves from a first location to a different, second location; and a first and a second provision zone (20-1, 20-2), where such shelves are arranged at addressed provision locations, to which a first or second access frequency category is assigned and which substantially store articles of the first or second category. An order picker (168) can move through the zones (20-1, 20-2) with an order picking vehicle (166).