Inventory Management System Dynamic Failure Rate Calculation
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Solution Overview
Problem
Current inventory management systems fail to accurately predict failures in components without visible signs, leading to excessive or insufficient inventory, causing economic losses and production delays, especially in production equipment.
Innovation Solution
An inventory management system that calculates the sum of cumulative failure rates of components with the same specifications, considering acceleration factors due to driving conditions, to determine the appropriate inventory quantity, and includes machine learning to improve precision in predicting failures and maintenance needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If inventory quantity is increased to prevent failures, then reliability is improved, but loss of substance worsens due to excessive inventory
Solution Approach 1:
The patent changes the parameter of failure rate from a static average value to a dynamic value that varies with driving conditions. By introducing an acceleration factor that multiplies the standard failure rate based on actual operating conditions (temperature, load, speed), the system calculates a more accurate cumulative failure rate that reflects real-time risks, enabling precise inventory optimization without excessive stocking.
Solution Approach 2:
The system implements feedback by continuously monitoring driving conditions and adjusting the failure rate calculation accordingly. The acceleration factor serves as a feedback mechanism that incorporates actual operating data to refine failure predictions, allowing the inventory management to adapt dynamically rather than relying on static historical averages.
2Loss of substance
If inventory quantity is decreased to reduce costs, then loss of substance is improved, but reliability worsens due to insufficient inventory
Solution Approach 1:
By transforming the failure rate parameter from a constant average to a variable dependent on driving conditions, the system identifies periods of high and low risk. This allows inventory to be optimized by maintaining higher levels only when cumulative failure rate exceeds thresholds, and reducing inventory during low-risk periods, thereby preventing both excessive and insufficient stocking.
Solution Approach 2:
The patent introduces dynamics into inventory management by making the required inventory quantity variable rather than fixed. The system continuously updates the cumulative failure rate based on changing driving conditions and adjusts inventory recommendations accordingly, enabling the inventory level to dynamically adapt to actual risk levels.
3Ease of operation
If average failure rate is used for inventory management, then ease of operation is improved, but measurement precision worsens due to inability to predict failures
Solution Approach 1:
The patent enhances measurement precision by changing the failure rate parameter from a simple average to a calculated value that incorporates driving condition data and acceleration factors. While this increases computational complexity, it provides much more accurate failure predictions by accounting for how different operating conditions affect component reliability.
Solution Approach 2:
The system introduces an intermediary calculation layer between the simple average failure rate and the actual failure prediction. The acceleration factor acts as a mediator that adjusts the standard failure rate based on driving conditions, providing a bridge that maintains operational simplicity while improving prediction accuracy through systematic adjustment rather than raw data processing.
Data Source
AI summary
An inventory management system includes a plurality of apparatuses, an information management device connected to the apparatuses, and an information processor. The information processor calculates the sum of cumulative failure rates that is the sum value of the cumulative failure rates of all of designated components having the same specifications used in the apparatuses at a certain point in time, in consideration of an acceleration depending on a driving condition with respect to a standard cumulative failure rate of each type of the designated components having the same specifications used in the apparatuses under a standard driving condition, and calculates the appropriate inventory quantity of the designated components based on the calculated sum of the cumulative failure rates.