Maintenance Dispatch System Using Failure Influence Degree
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Solution Overview
Problem
Current maintenance systems for shops, such as supermarkets or convenience stores, lack the ability to selectively dispatch maintenance workers based on the specific influence of a failure on the shop, leading to inefficient repair responses.
Innovation Solution
An information processing apparatus that includes a communication interface, shop database, and maintenance worker database, which receives failure information, determines the degree of influence on the shop, and selects an appropriate maintenance worker based on skill levels and priority, ensuring timely and effective dispatch.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If maintenance workers are dispatched based solely on skill levels, then repair quality is improved, but response efficiency to critical failures deteriorates
Solution Approach 1:
The patent changes the dispatch parameters from solely skill-based to a multi-dimensional parameter system that includes failure influence degree, worker skill level, and current workload. This allows the system to select workers based on composite criteria rather than a single parameter, resolving the contradiction between repair quality and response efficiency.
Solution Approach 2:
The patent introduces dynamic dispatching where worker selection adapts based on real-time conditions including the severity of the failure, the worker's skill profile, and current assignment status. This dynamic approach allows critical failures to be prioritized while maintaining overall system efficiency.
2Ease of operation
If all failures are treated with equal priority, then simplicity is maintained, but loss of time in critical situations increases
Solution Approach 1:
The patent introduces a failure influence degree parameter that transforms the dispatch system from uniform treatment to differentiated priority handling. This parameter enables the system to automatically prioritize critical failures without requiring complex manual assessment, maintaining operational simplicity while reducing downtime for urgent cases.
3Reliability
If high-skill workers are dispatched to all failures, then repair quality is improved, but productivity of the maintenance system deteriorates
Solution Approach 1:
The patent applies local quality by matching worker skill levels to the specific requirements of each failure type. Instead of uniformly deploying high-skill workers to all situations, the system assigns workers based on the local needs of each failure case, optimizing both repair quality and overall system productivity.
Solution Approach 2:
The patent implements partial action by deploying workers with sufficient skill levels for each specific failure rather than always using the highest skill level available. This prevents over-allocation of high-skill workers to minor issues, thereby maintaining maintenance system productivity while ensuring adequate repair quality.
Data Source
AI summary
According to an embodiment, an information processing apparatus includes a communication interface, a shop database, a maintenance worker database, and a controller. The controller determines a degree of influence of a failure on a shop on the basis of failure information received by the communication interface and shop information stored in the shop database. The controller compares the determined degree of influence with a degree of influence in other shop and determines the priority of a response to the failure in the shop. The controller selects an appropriate maintenance worker from maintenance workers stored in the maintenance worker database on the basis of the determined priority.