Dynamic Plate Storage Scenario Selection for Access Optimization
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Solution Overview
Problem
Existing plate bearing systems face challenges in quickly accessing desired residual plates, leading to inefficiencies in the operation of plate layer systems and plate bearing systems.
Innovation Solution
A procedure that involves a situation analysis to determine the optimal storage scenario for plates, allowing for dynamic adjustment based on future operating conditions, such as the expected operating speed of the plate bearing, to minimize the number of surrounding stacks necessary for plate access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If panels are stored in fixed storage locations without optimization, then storage simplicity is maintained, but access time to desired panels increases
Solution Approach 1:
The patent implements dynamic storage location assignment where panels are not stored in fixed locations but are instead placed in storage locations determined by predictive algorithms. The system continuously adjusts storage assignments based on forecasted future operations, transforming a static storage system into a dynamic one that adapts to changing demands, thereby reducing access time without proportionally increasing operational complexity.
Solution Approach 2:
The system performs preliminary actions by determining optimal storage locations for panels before they are actually needed. Using machine learning models that predict future operational requirements, the system pre-positions panels in storage locations that will minimize future access time and restacking operations, rather than reacting to demands after they arise.
2Productivity
If multiple restacking operations are performed to access panels, then panel retrieval is possible, but operational efficiency decreases
Solution Approach 1:
The system performs preliminary positioning of panels in storage locations that anticipate future retrieval needs. By using predictive algorithms to determine where panels should be stored before they are actually needed, the system minimizes the number of restacking operations required later, thereby improving productivity and reducing the time lost to restacking activities.
Solution Approach 2:
The system implements a feedback loop where actual panel retrieval patterns are continuously monitored and fed back into the machine learning model. This feedback allows the system to refine its predictions and improve its storage location assignments over time, progressively reducing the number of restacking operations needed and enhancing operational efficiency.
3Adaptability or versatility
If a single storage method is used for all panels, then storage process is simple, but adaptability to different operating conditions is reduced
Solution Approach 1:
The patent creates a dynamic storage management system that adapts to different operating conditions through scenario analysis. Instead of using a single static storage method, the system evaluates multiple storage scenarios and selects the optimal one based on predicted future operating conditions such as different operating speeds or production demands, thereby achieving high adaptability while managing complexity through automated decision-making.
Solution Approach 2:
The system changes storage parameters dynamically based on operating conditions. By analyzing different scenarios with varying parameters (such as operating speed, panel types, and production volumes), the system adjusts its storage strategy to match the current operational context, enabling adaptability to diverse conditions without requiring manual reconfiguration.
Data Source
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AI summary
In a method for operating a panel storage system (10) of a panel dividing plant (12), a storage location (30) for a panel (50) to be stored can be determined by an automated system (46) according to at least one first scenario. It is proposed that a storage location (30) for the panel (50) to be stored can additionally be determined by the automated system (46) according to at least one second scenario, and that before the panel (50) is stored, a situation analysis is performed by the automated system (46), and based on the result of the situation analysis, the first or the second scenario is selected to determine the storage location (30).