Storage Shelf Arrangement Using Delivery Demand Forecasts
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Solution Overview
Problem
Existing storage shelf management systems struggle to arrange storage shelves at optimal positions, significantly affecting retrieval times due to varying delivery requests and inefficient delivery processing.
Innovation Solution
A storage shelf management system that includes an acquisition processing circuit to determine individual delivery processing times, a prediction processing circuit to forecast delivery demands, an evaluation processing circuit to assess combination delivery processing times, and a determination processing circuit to optimize shelf arrangements based on these factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If storage shelves are arranged at fixed positions, then the system structure is simple, but retrieval time increases due to suboptimal positioning
Solution Approach 1:
The patent implements dynamic arrangement position determination by calculating optimal positions based on delivery prediction information and individual delivery processing times. The system continuously updates arrangement positions according to changing delivery demands, transforming the static shelf positioning into a dynamic optimization process that adapts to varying retrieval requirements
Solution Approach 2:
The patent applies preliminary action by determining optimal arrangement positions in advance based on predicted delivery information. The system calculates and sets optimal positions before actual delivery requests occur, using delivery prediction data to proactively prepare the most efficient shelf arrangements for anticipated retrieval operations
2Productivity
If storage shelves are frequently rearranged to optimize positions, then retrieval efficiency improves, but system complexity and operational overhead increase
Solution Approach 1:
The patent changes key parameters including individual delivery processing times and delivery prediction information to determine optimal arrangement positions. By monitoring and updating these parameters, the system dynamically adjusts shelf positions to maintain optimal delivery processing efficiency without requiring complex manual intervention
Solution Approach 2:
The patent implements feedback mechanisms by using actual delivery processing times to refine future position determinations. The system continuously gathers data on delivery processing efficiency and uses this feedback to improve subsequent arrangement optimizations, creating a self-improving system that reduces operational overhead over time
3Productivity
If individual shelf positions are optimized independently, then local retrieval efficiency improves, but overall system coordination deteriorates
Solution Approach 1:
The patent merges individual shelf optimization with overall system coordination by determining arrangement position combinations that optimize the entire storage system simultaneously. The system evaluates how individual shelf positions interact within the broader context, ensuring that local optimizations contribute to global efficiency while maintaining stable and coordinated arrangement combinations
Data Source
AI summary
A management server includes an acquisition processing circuit that acquires an individual delivery processing time when each of a plurality of storage shelves are arranged at each of a plurality of arrangement positions, a prediction processing circuit that acquires delivery prediction information of the storage shelf, an evaluation processing circuit that evaluates combination delivery processing times corresponding to a plurality of arrangement position combinations, based on the individual delivery processing time and the delivery prediction information, and a determination processing circuit that determines one arrangement position combination, from among the plurality of arrangement position combinations, based on the combination delivery processing time.


