Consumable Management Apparatus Predicts Replacement Timing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The inefficiency in consumable management due to fluctuating delivery periods, leading to either premature or delayed replacement of consumables, which results in downtime and decreased usage efficiency.
Innovation Solution
A consumable management apparatus that periodically acquires remaining amount information and replacement history from connected devices, predicts the replacement time, and determines a shipping date based on the delivery period to ensure timely arrival of new consumables, considering factors like holidays and special days.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed threshold value is used for consumable replacement without considering delivery period fluctuations, then the replacement timing can be determined simply, but the consumable may arrive too early or too late, causing downtime or reduced efficiency
Solution Approach 1:
The patent applies dynamics by making the replacement threshold value variable rather than fixed. The threshold is dynamically adjusted based on the predicted delivery period, allowing the system to adapt to fluctuations in delivery time. This resolves the contradiction by enabling simple operation through automated dynamic adjustment while maintaining high productivity through optimized replacement timing.
Solution Approach 2:
The system performs preliminary action by predicting the delivery period and calculating the optimal replacement threshold before the consumable actually needs replacement. This advance planning ensures that the consumable arrives and is replaced at the optimal time, preventing both early arrival (reducing efficiency) and late arrival (causing downtime).
2Reliability
If the consumable is shipped early to ensure timely arrival, then the risk of downtime is reduced, but the consumable may arrive too early and be replaced before complete consumption, reducing efficiency
Solution Approach 1:
The system uses feedback by continuously monitoring the actual delivery period and comparing it with the predicted delivery period. Based on this feedback, the replacement threshold is adjusted to optimize both reliability and productivity. The feedback loop ensures that early shipping only occurs when necessary, preventing premature replacement while ensuring timely arrival.
Solution Approach 2:
The patent applies parameter changes by adjusting the replacement threshold parameter based on the predicted delivery period. When the predicted delivery period is long, the threshold is set higher to allow earlier replacement timing. When the predicted delivery period is short, the threshold is set lower to delay replacement. This dynamic parameter adjustment resolves the contradiction between reliability and productivity.
3Productivity
If the consumable replacement timing is delayed to avoid early arrival, then consumable usage efficiency is improved, but the risk of missed arrival and downtime increases
Solution Approach 1:
The system uses dynamics to adjust the replacement threshold in real-time based on predicted delivery conditions. This allows the system to optimize for productivity when delivery is reliable while maintaining reliability when delivery may be delayed. The dynamic adjustment prevents both premature replacement and missed arrival.
Solution Approach 2:
The system performs preliminary action by predicting the delivery period in advance and setting the replacement threshold accordingly. This advance prediction allows the system to prepare for potential delays while optimizing for efficiency, resolving the contradiction between productivity and reliability.
4Device complexity
If a simple fixed threshold method is used, then the system complexity is low, but the delivery period fluctuation cannot be accommodated, leading to suboptimal replacement timing
Solution Approach 1:
The system applies self-service by automatically predicting the delivery period and calculating the optimal replacement threshold without requiring manual intervention. This automated self-adjustment maintains low system complexity from the user perspective while effectively accommodating delivery period fluctuations, reducing both downtime and inefficiency.
Solution Approach 2:
The system performs preliminary action by automatically predicting delivery conditions and setting optimal thresholds in advance. This automated preliminary calculation eliminates the need for complex manual management while reducing time loss through optimized replacement timing.
Data Source
AI summary
A consumable management apparatus includes a processor configured to periodically acquire remaining amount information, which is related to a remaining amount to be used until replacement of a consumable, and a replacement history of the consumable, from an apparatus provided with the consumable, acquire information about a delivery period, which is from shipment of the consumable to arrival of the consumable at an installation place of the apparatus, and a delivery time period corresponding to the replacement history, predict a replacement time period of the consumable provided in the apparatus by using the remaining amount information, and determine a time point that is before the delivery period, which is obtained in accordance with the delivery time period, from the predicted replacement time period, as a time point for shipping the consumable to the installation place.