Expendable Wear Management via Priority Classification
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Solution Overview
Problem
Existing systems lack an efficient method to manage and prioritize the usage of expendables, such as storage batteries, leading to uneven wear and reduced economic efficiency in collection and supplementation processes.
Innovation Solution
A managing apparatus that acquires and analyzes usage and wear information to decide on the priority and feasibility of expendable usage, classifying them for uniform performance and efficient collection, utilizing distributed ledger technology like blockchain for data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If expendables are used without priority management, then usage flexibility is maintained, but wear dispersion increases and economic efficiency decreases
Solution Approach 1:
The system changes the management approach by introducing priority levels as a new parameter. Expendables are classified into different priority groups based on their wear state and usage history, allowing the system to manage wear uniformity through parameter-based classification rather than uniform treatment of all items.
Solution Approach 2:
The management system segments expendables into different priority groups (first priority, second priority, etc.) based on their characteristics and wear state. This segmentation allows differential management strategies to be applied to different groups, suppressing wear dispersion while maintaining manageable system complexity through structured classification.
2Productivity
If manual collection and supplementation methods are used, then system simplicity is maintained, but work efficiency is reduced
Solution Approach 1:
The system implements automated feedback mechanisms where the managing apparatus continuously monitors expendable wear states, usage patterns, and inventory levels. This feedback enables automatic generation of collection schedules and supplementation requests, significantly improving collection work efficiency while reducing the time loss associated with manual monitoring and decision-making.
Solution Approach 2:
The system enables self-service automation where the managing apparatus automatically identifies which expendables need collection, determines supplementation requirements, and executes these tasks without extensive manual intervention. This self-service capability dramatically improves productivity in collection operations while minimizing time loss.
3Reliability
If expendables are reused without wear analysis, then resource utilization is maximized, but performance uniformity deteriorates
Solution Approach 1:
The system applies parameter-based decision-making for reuse by analyzing wear state, usage history, and priority classification. Expendables are evaluated against multiple parameters to determine suitability for reuse, ensuring that only those meeting uniform performance criteria are selected. This parameter-driven approach maintains reliability while optimizing resource utilization through data-driven decisions.
Solution Approach 2:
The system implements a structured approach to expendable lifecycle management where items are systematically evaluated for continued use versus replacement. By classifying expendables into priority groups based on wear and usage, the system optimizes the balance between reusing items (extending their life) and replacing them (maintaining uniformity), thereby improving both performance uniformity and resource utilization efficiency.
Data Source
AI summary
A target information acquiring unit that acquires target information indicating a target condition about a degree of wear of an expendable; a usage information acquiring unit that acquires usage information indicating a degree of usage from a start of usage of the expendable; a wear information acquiring unit that acquires wear information indicating a degree of wear of the expendable; and a deciding unit that decides (i) whether or not usage of each expendable is possible and/or (ii) a degree of priority about usage of each expendable based on (i) a target condition indicated by the target information acquired by the target information acquiring unit, (ii) a degree of usage of each expendable indicated by the usage information acquired by the usage information acquiring unit and (iii) a degree of wear of each expendable indicated by the wear information acquired by the wear information acquiring unit are included.


