Production Plan Performance Prediction via Virtual Model Simulation
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Solution Overview
Problem
Existing production planning technologies face challenges in accurately predicting manufacturing performance due to uncertain elements like worker absenteeism and fluctuating production demands, requiring human expertise and time for adaptation, and are inefficient in resource utilization.
Innovation Solution
A processing device that calculates evaluation values by comparing new production plans to previous plans using distance metrics and classification results from a model, extracting suitable performance data to predict manufacturing capacity and adjust production plans accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing production planning technologies are used, then production plans can be generated, but accurate prediction of manufacturing performance cannot be achieved due to uncertain elements like worker absenteeism and fluctuating production demands
Solution Approach 1:
The patent creates a virtual model that copies and simulates real production environments, capturing uncertain elements like worker absenteeism and production demand fluctuations. This virtual model allows accurate prediction of manufacturing performance by replicating real-world conditions without the risks and costs of actual experimentation.
Solution Approach 2:
The system performs preliminary simulations of production plans before actual implementation. By evaluating multiple scenarios in advance using the virtual model, the system predicts manufacturing performance and identifies optimal production plans, allowing organizations to prepare for uncertain elements before they occur in reality.
2Adaptability or versatility
If human expertise is used to adapt to uncertain elements, then production plans can be adjusted, but the process requires significant time and human resources
Solution Approach 1:
The patent replaces human expertise and manual adaptation processes with an automated virtual model system. The model automatically adjusts production plans by simulating various scenarios and evaluating outcomes, eliminating the need for time-consuming human analysis while maintaining or improving adaptability to uncertain elements.
Solution Approach 2:
The virtual model system performs self-adjustment of production plans by automatically evaluating scenarios and identifying optimal solutions. The system serves itself by continuously learning from simulated outcomes and adapting its predictions, reducing reliance on human intervention for plan adjustment.
3Ease of manufacture
If traditional production planning methods are used, then plans can be created, but resource utilization is inefficient
Solution Approach 1:
The patent implements a feedback mechanism where the virtual model evaluates production plans and provides performance predictions back to the planning process. This feedback loop allows continuous optimization of resource allocation by learning from simulated outcomes and adjusting future plan recommendations, thereby improving resource utilization efficiency while maintaining ease of plan generation.
Data Source
AI summary
According to one embodiment, a processing device refers to data sets. Each of the data sets includes previous plan data and performance data. The previous plan data are of a time series of a relationship between time and a target production volume of a previous plan. The device calculates first evaluation values for sets of the performance data. The new plan data are of a time series of a relationship between time and a target production volume of a new plan. The device inputs a new plan image to a first model and calculates second evaluation values for the sets of performance data. The new plan image is of the relationship between time and the target production volume of the new plan. The device extracts at least one of the sets of performance data by using the first evaluation values and the second evaluation values.