Allocation Result Determination Device for Landing Sequence Optimization
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Solution Overview
Problem
The existing landing sequence determining device increases operational costs when changes in estimated aircraft arrival times require adjustments to the landing sequence, affecting both fuel and pilot-related burdens.
Innovation Solution
A device that calculates change costs and reward values using learning models to select between initial and updated allocation results based on cost thresholds, optimizing the landing sequence by predicting reward value differences and updating the learning model to minimize cost discrepancies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the landing sequence is changed when the estimated time of arrival of any aircraft is changed, then the allocation adaptability is improved, but the operational cost increases
Solution Approach 1:
The system changes the parameter of allocation sequence based on the change of estimated time of arrival, but controls the magnitude of change by comparing costs. The scheduler adjusts the landing sequence only when necessary, using cost comparison to determine the optimal degree of parameter change.
Solution Approach 2:
The system calculates the cost of changing allocation and uses this feedback to decide whether to maintain or change the landing sequence. The cost information feeds back into the decision-making process to optimize the balance between adaptability and operational cost.
2Loss of energy
If the landing sequence is maintained when the estimated time of arrival of any aircraft is changed, then the operational cost is reduced, but the allocation adaptability deteriorates
Solution Approach 1:
The system maintains the allocation sequence when cost analysis indicates that changes would be expensive, thus preserving operational efficiency. The parameter of allocation sequence is kept constant when the benefit of change does not justify the cost.
Solution Approach 2:
The cost calculation feedback mechanism determines when to maintain the current allocation sequence. By continuously monitoring cost implications, the system provides feedback to the scheduler to maintain sequences only when cost-effective.
3Speed
If the scheduler frequently changes the landing sequence in response to arrival time changes, then the allocation responsiveness is improved, but the operational cost increases
Solution Approach 1:
The system adjusts the frequency and magnitude of allocation sequence changes based on cost-benefit analysis. Rather than responding to every arrival time change, the system selectively changes parameters only when the responsiveness benefit justifies the operational cost.
Solution Approach 2:
The cost calculation provides feedback that modulates the responsiveness of the scheduler. The system learns from cost feedback to optimize the balance between responding quickly to arrival time changes and avoiding unnecessary sequence adjustments that increase operational cost.
Data Source
AI summary
This allocation result determination device includes a change cost calculating unit that acquires a first allocation result determined at a first time and a second allocation result determined at a second time later than the first time as an allocation result indicating the allocation order for a plurality of objects to be allocated, and calculates a change cost that is an amount of increase in cost when the allocation result is changed from the first allocation result to the second allocation result. The allocation result determination device also includes an allocation result selecting unit that selects the first allocation result or the second allocation result on the basis of the change cost calculated by the change cost calculating unit.