Factory Operation Evaluation Using Predictive KPI Forecasting
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Solution Overview
Problem
In factory operation evaluation, existing methods rely on key performance indicators (KPIs) that only react after significant deviations occur between planned and achieved values, leading to delayed restoration of operation plans.
Innovation Solution
An operation evaluation device and method that predicts future evaluation values using a learned prediction model based on input data, including facility running ratios and energy consumption, to provide early warnings and facilitate timely countermeasures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If KPI-based evaluation with plan value comparison is used, then operational metrics can be tracked, but countermeasures are delayed until considerable deviation occurs
Solution Approach 1:
The prediction model performs preliminary evaluation by forecasting future KPI values before actual deviations occur. The system calculates predicted achievement values and compares them with plan values in advance, enabling proactive countermeasures before considerable deviations develop, thus reducing restoration time while maintaining detection precision
2Measurement precision
If prediction model with multiple input data kinds is used, then future evaluation values can be predicted accurately, but system complexity increases
Solution Approach 1:
The system accepts multiple kinds of input data (production volume, quality rate, delivery performance, cost) and dynamically processes these parameters through the prediction model. By changing and processing multiple input parameters simultaneously, the model achieves high prediction accuracy for future KPI values while managing complexity through structured data handling
Data Source
AI summary
An evaluation value prediction unit predicts an evaluation value at a time point after a given time passes from a predetermined evaluation time based on input data related to an operation of a factory at the evaluation time using a learned prediction model. The prediction model is a learned model that is learned so that the evaluation value related to the operation of the factory at a time point after the given time passes from one time point is output by inputting a plurality of kinds of data related to the operation of the factory at one time point. An evaluation value output unit outputs information related to the evaluation value.