Space Allocation System for Multi-Variate Object Storage
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for space allocation in industries such as airlines, retail, and logistics are inefficient, leading to improper utilization of storage space, increased operational costs, and delays due to manual processes and lack of automation, especially in handling luggage and inventory management.
Innovation Solution
A space allocation system that uses a learning device and input means to process space and object data, generating optimized combinations for placing objects in storage spaces, incorporating intra-container and inter-container allocation to dynamically and efficiently allocate space based on multi-variate characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual space allocation methods are used, then simplicity of implementation is maintained, but space utilization efficiency deteriorates
Solution Approach 1:
The patent replaces manual mechanical space allocation methods with an automated computer-based system that uses algorithms and data processing to optimize space utilization. The system automatically processes object characteristics, storage space parameters, and allocation rules to generate optimized allocation plans, eliminating the need for manual intervention while dramatically improving space utilization efficiency.
2Productivity
If automated space allocation systems are implemented, then space utilization efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal space allocation system that can handle multiple types of objects (luggage, cargo, retail products) and multiple storage spaces (overhead bins, cargo holds, shelves) through a single integrated platform. The system uses standardized data structures and allocation algorithms that can be configured for different scenarios, reducing overall system complexity while maintaining high space utilization efficiency across diverse applications.
Solution Approach 2:
The system performs preliminary processing of object characteristics and storage space parameters before actual allocation occurs. By pre-processing data, establishing allocation rules, and preparing optimization parameters in advance, the system reduces the complexity of the real-time allocation decision-making process while maintaining high efficiency in space utilization.
3Ease of operation
If conventional luggage allocation methods are used, then boarding process simplicity is maintained, but boarding time increases
Solution Approach 1:
The patent applies preliminary space allocation and optimization before passengers board the aircraft. The system pre-determines which passengers can store carry-on luggage in overhead bins based on real-time analysis of available space and luggage characteristics. This preliminary action allows for streamlined boarding procedures where passengers are directed to specific overhead bin locations, eliminating the need for manual space assessment during boarding and significantly reducing boarding time while maintaining operational simplicity.
4Adaptability or versatility
If random luggage storage is used, then storage space flexibility is maintained, but luggage collection time increases
Solution Approach 1:
The patent implements preliminary organized allocation of checked-in luggage to specific storage locations based on passenger seating arrangements and priority levels. The system pre-arranges luggage in the cargo hold according to a structured plan that considers passenger groups, seating sections, and collection priority. This preliminary organization maintains storage space flexibility for accommodating different luggage sizes and types while enabling passengers to quickly locate and collect their luggage at the destination, significantly reducing luggage collection time.
Data Source
AI summary
The present invention discloses a space allocation system and a method for allocating space to objects with multi-variate characteristics. In the present invention, intra-container allocation and/or inter-container allocation is performed to generate a combination in which the objects can be placed in one or more pre-defined storage spaces in a plurality of storage containers. The generated combination is further optimized for efficient space allocation to objects with multi-variate characteristics.


