Workshop Resource Fault Propagation Mapping for Bottleneck Identification
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Solution Overview
Problem
Discrete manufacturing workshops face challenges in identifying and managing key manufacturing resources effectively to prevent and recover from faults, leading to inefficiencies and reduced production stability.
Innovation Solution
A method using SIS modeling and Internet RFID technology with relational SQL databases to establish links between workpieces, production plans, and manufacturing resources, determining the importance of resources based on fault occurrence and propagation, and identifying key nodes through iterative grouping and weighting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional production system analysis methods are used, then implementation simplicity is maintained, but the ability to identify and manage key manufacturing resources and prevent fault propagation is insufficient
Solution Approach 1:
The patent segments manufacturing resources into different states (normal, fault occurred, fault recovered) and divides the analysis into discrete time points, allowing complex fault propagation to be analyzed through simplified state transitions similar to epidemiological models
Solution Approach 2:
The patent introduces an SIS (Susceptible-Infected-SRecovered) model as an intermediary framework from infectious disease research to analyze fault propagation, transforming complex manufacturing fault analysis into a manageable mathematical model with defined transition probabilities
2Measurement precision
If comprehensive fault analysis of all manufacturing resources is performed, then identification accuracy of key resources is improved, but computational time and resource consumption increase
Solution Approach 1:
The patent performs preliminary classification of manufacturing resources into different fault states and pre-calculates transition probabilities, allowing rapid analysis of fault propagation without requiring exhaustive real-time analysis of all resources
Solution Approach 2:
The patent focuses analysis on resources that have actually experienced faults or are at risk, rather than uniformly analyzing all manufacturing resources, thereby reducing computational overhead while maintaining identification accuracy for key resources
3Adaptability or versatility
If manufacturing resources are analyzed without considering fault propagation, then analysis simplicity is maintained, but the ability to anticipate and prepare for faults is reduced
Solution Approach 1:
The patent implements feedback mechanisms where fault occurrence in one resource updates the state and risk assessment of connected resources, allowing the system to dynamically adjust and prepare for potential fault propagation based on real-time conditions
Solution Approach 2:
The patent uses the SIS model to predict future fault states and propagation paths before they occur, enabling proactive preparation and intervention strategies rather than reactive responses to actual failures
Data Source
AI summary
A SIS identification method of reversible recovery fault-oriented workshop key manufacturing resources is that based on SIS model in the infectious disease research theory, the workpieces and manufacturing resources required in a production order are linked together through database technology to establish a discrete production workshop manufacturing network. The SIS model is configured to solve a change of the number of bottlenecks of other manufacturing resources caused by the initial fault manufacturing resources over time. The weighted result of a peak number of bottleneck resources and its time to reach the peak is marked to determine the importance of the initial fault manufacturing resources. Through the sorting of importance, the key manufacturing resource nodes in the discrete workshop are finally selected. The invention sorts out other key manufacturing resources that need to pay attention in production management in the manufacturing workshop to plan in advance and to improve the efficiency.