Integrated Maintenance Scenario Planning Across Multiple Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Integrated systems such as industrial plants and aircraft face high risks of performance degradation and unexpected failures due to inadequate maintenance planning, which can lead to economic losses, as existing technologies fail to comprehensively consider future variations and optimize maintenance plans across multiple components.
Innovation Solution
An operation/maintenance management method and system that selects evaluation indices and periods, acquires prediction information, creates future scenarios, and computes evaluation indices, allowing for interactive and comprehensive planning by sharing necessary information between business operators and manufacturers, incorporating device and operation information to optimize maintenance strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If maintenance plans are created individually for each device, then device-specific maintenance can be performed, but it is not easy to adjust and optimize the entire integrated system
Solution Approach 1:
The patent merges individual device maintenance plans into a comprehensive integrated system maintenance plan. The system aggregates maintenance data from multiple devices and generates coordinated maintenance schedules that optimize the entire system rather than treating devices independently, thereby improving overall maintenance efficiency while managing system complexity through integrated planning.
Solution Approach 2:
The maintenance management system performs multiple functions: it individually monitors each device's maintenance needs while simultaneously optimizing the entire integrated system. The system universally handles device-level and system-level maintenance planning, allowing it to adapt to different maintenance scales and requirements within a single platform.
2Reliability
If device information and operation information are fully disclosed for comprehensive evaluation, then optimization can be maximized, but highly confidential details such as latest technology and future prediction cannot be disclosed
Solution Approach 1:
The patent segments information into different levels of confidentiality and necessity. The system divides maintenance evaluation data into public operational parameters and confidential proprietary information, allowing comprehensive evaluation using only the necessary non-confidential portions. This segmentation enables accurate maintenance optimization without requiring disclosure of sensitive technology details or future predictions.
Solution Approach 2:
The maintenance management system acts as an intermediary that processes and evaluates information without requiring full disclosure of confidential details. It mediates between the need for comprehensive evaluation data and the protection of proprietary information by using only the minimum necessary information from each party to generate optimized maintenance plans.
3Productivity
If maintenance plans consider future causes of variation such as performance degradation, then economic efficiency can be improved, but it requires predicting future scenarios which involves uncertainty and multiple options
Solution Approach 1:
The system performs preliminary maintenance actions based on predicted future performance degradation. By analyzing current device states and projecting future conditions, the system schedules maintenance before actual degradation occurs, preventing economic losses from performance decline while managing prediction complexity through systematic scenario analysis.
Data Source
AI summary
An operation/maintenance management method of an integrated system including a plurality of components or devices includes selecting an index and a period for evaluating the integrated system, acquiring prediction information for input information for use in computation of the index, creating a future prediction scenario by combining the input information, computing an evaluation index related to the scenario, and comparing and displaying evaluation index computation results related to a plurality of scenarios.