Facility Maintenance Planning Under Risk and Resource Constraints
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Solution Overview
Problem
Existing maintenance planning technologies fail to generate optimal maintenance plans that satisfy resource constraints and minimize cost while considering risk, leading to delays and operational disruptions in mobility businesses.
Innovation Solution
A maintenance planning assistance system that uses a computer-based optimization process to generate maintenance plans by combining equipment lists and resource allocation, considering defect occurrence probabilities and economic loss evaluation to optimize maintenance times and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing maintenance planning technologies are used to draft maintenance plans considering risk and cost, then the maintenance plan can be optimized for risk and cost, but resource constraints cannot be fully satisfied leading to maintenance delays
Solution Approach 1:
The maintenance planning problem is divided into two separate optimization problems: first optimizing the maintenance equipment list by selecting which equipment to maintain and when, and second optimizing the maintenance plan by allocating resources and scheduling maintenance activities. This segmentation allows each sub-problem to be solved independently with appropriate constraints, ensuring both optimality and resource satisfaction.
Solution Approach 2:
The patent replaces traditional manual or simple automated maintenance planning methods with a computer-based optimization system that uses mathematical models and algorithms to automatically generate optimal maintenance plans. This substitution enables complex multi-constraint optimization problems to be solved efficiently, simultaneously satisfying risk, cost, and resource constraints.
2Ease of operation
If maintenance is delayed to satisfy resource constraints, then resource availability is improved, but operational disruptions increase and time is lost
Solution Approach 1:
The system performs preliminary optimization of the maintenance equipment list before finalizing the maintenance plan. By pre-determining which equipment should be maintained and when, the system can proactively allocate resources and schedule activities to avoid delays, ensuring both resource availability and operational efficiency are maintained.
Solution Approach 2:
The maintenance plan is generated dynamically by the optimization system, which adjusts maintenance schedules and resource allocation based on current equipment state, resource availability, and operational requirements. This dynamic approach allows the system to find optimal balances between resource constraints and operational productivity.
3Reliability
If maintenance is performed at non-recommended times to satisfy constraints, then resource constraints are met, but economic loss increases
Solution Approach 1:
The optimization system adjusts multiple parameters including maintenance timing, equipment selection, and resource allocation to find the optimal balance between constraint satisfaction and economic loss minimization. By changing these parameters systematically through optimization algorithms, the system ensures maintenance is performed at economically optimal times while satisfying all constraints.
Solution Approach 2:
The system uses feedback from equipment state information, maintenance cost data, and resource availability to continuously refine the maintenance plan. This feedback mechanism ensures that the optimization process accounts for economic implications and adjusts the plan to minimize economic loss while maintaining constraint satisfaction.
Data Source
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AI summary
This maintenance planning assistance system holds device state information for managing a recommended maintenance timing for each facility device. The recommended maintenance timing refers to a point of time at which the cost required for maintenance of a device is low and the failure rate of the device is low. The maintenance planning assistance system: generates a plurality of lists which are for each facility and which serve as a first optimization problem for which a device list of a facility on which maintenance is performed at a maintenance timing is retrieved, such generation performed by using a constraint condition related to the probability of a failure occurrence in the facility, and an evaluation value calculated using a facility maintenance cost loss that evaluates an economic loss due to device maintenance at a timing offset from the recommended maintenance timing; and generates a plurality of maintenance plans which are for a plurality of facilities and which serve as a second optimization problem for which a maintenance plan, which is a combination of maintenance date and time, resource allocation, and list, is retrieved, such generation performed by using a second constraint condition related to the probability of a failure occurrence in the facility and the resource required for the device maintenance, and a total evaluation value calculated by using the evaluation value.