Component Stock Management With Failure-Based Replacement Allocation
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Solution Overview
Problem
Difficulty in managing component stock levels leads to extended downtime of apparatuses due to component unavailability, as delays in component delivery can result in stockouts, rendering machines unusable until replacement components are available.
Innovation Solution
A management system that detects low stock levels of critical components, initiates anomaly diagnosis requests, and allocates stocked components to affected apparatuses based on diagnosis results, ensuring timely replacement and minimizing downtime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If component stock levels are not actively managed, then stockout frequency increases, but implementing active management requires additional monitoring and diagnosis systems
Solution Approach 1:
The system performs preliminary anomaly diagnosis on components when stock levels are low, before actual failure occurs. This allows proactive identification of failed components and pre-arrangement of replacement parts, preventing apparatus downtime while avoiding unnecessary complexity by only activating diagnosis when needed
Solution Approach 2:
The management apparatus automatically monitors component stock levels, initiates anomaly diagnosis requests, and manages replacement component allocation without manual intervention. The system serves itself by autonomously coordinating between stock management, diagnosis execution, and replacement logistics
2Measurement precision
If anomaly diagnosis is performed for all low-stock components, then failure detection accuracy improves, but diagnostic resource consumption increases
Solution Approach 1:
Anomaly diagnosis is selectively applied only to specific components that are both low in stock and suspected of having failures based on local conditions. The system identifies target components for diagnosis by considering stock levels, usage patterns, and failure probabilities, concentrating diagnostic resources where they provide maximum value
3Productivity
If replacement components are allocated based on first-come-first-served, then allocation simplicity is maintained, but apparatus downtime increases due to suboptimal component distribution
Solution Approach 1:
The management apparatus receives anomaly diagnosis results as feedback and uses this information to dynamically adjust component allocation decisions. When a component is diagnosed as failed, the system immediately allocates a replacement component to that apparatus, creating a closed-loop system that continuously optimizes allocation based on real-time condition data
Data Source
AI summary
A management apparatus includes: a processor configured to: detect an identified component quantity of stock of which is lower than or equal to a threshold from among components included in each of processing apparatuses that are connected by using a communication network; transmit, to a processing apparatus of the processing apparatuses that uses the identified component, an anomaly diagnosis request for diagnosing whether the identified component has a failure; receive a result of diagnosing the identified component from the processing apparatus to which the anomaly diagnosis request is transmitted; and output an instruction to assign a stocked identified component to a processing apparatus of the processing apparatuses that is determined as including the identified component having the failure on a basis of the result of diagnosing the identified component.