Demand Prediction Device Using Feedback Correction
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Solution Overview
Problem
Existing demand prediction techniques for components are not satisfactorily accurate, necessitating a more precise method to anticipate component demand for vehicle replacement or repair.
Innovation Solution
A demand prediction device and system that acquires and processes result values, operation values, and existing predicted values to predict component demand by analyzing relative relationships and tendencies in time series data, adjusting predictions based on fluctuations and changes in operation and result values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing demand prediction techniques using replacement factor and operation characteristics are employed, then prediction can be performed, but prediction accuracy is not satisfactory
Solution Approach 1:
The patent introduces a feedback mechanism where actual demand results are acquired and used to correct predicted values. The system compares predicted demand with actual demand outcomes, then adjusts future predictions based on this feedback loop, thereby improving prediction accuracy over time while maintaining reliability
Solution Approach 2:
The patent changes the parameters used in prediction by incorporating multiple types of data including operation values, result values, and economic indicators. By adjusting and optimizing the weightings and combinations of these parameters, the system achieves higher prediction accuracy while maintaining reliable predictions
2Measurement precision
If multiple data types and correction mechanisms are introduced to improve prediction accuracy, then prediction precision increases, but system complexity increases
Solution Approach 1:
The patent segments the prediction system into distinct functional modules: an acquisition unit for gathering data, a prediction unit for generating initial predictions, and a correction unit for adjusting predictions based on actual results. This segmentation allows each module to perform its specific function with high precision while keeping the overall system manageable and not excessively complex
Data Source
AI summary
A demand prediction device predicts demand for a component of a vehicle in preparation for replacement or repair of the component and includes: an acquirer configured to acquire a result value of the demand for the component, an operation value associated with operation of vehicles using the component, and an existing predicted value which is a predicted demand for the component; and a predictor configured to predict the demand on the basis of the result value, the operation value, and the existing predicted value.