Factory Meta Model for Automated PFMEA in Dynamic Production
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Solution Overview
Problem
In an i4.0 production scenario, the dynamic nature of factory equipment and changing production processes make it challenging to consistently evaluate and improve product quality through traditional process failure mode and effect analysis (PFMEA), as each product may be produced differently and requires rapid adaptation to changing requirements.
Innovation Solution
A method and system for automatically conducting PFMEA using a meta model stored in a data storage, which includes abstract factory model elements, product model elements, and production model elements, allowing for differentiation of product requirements, production steps, and quality measures, and enabling the identification of failure modes and their impacts on product quality across various factories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional PFMEA is performed manually for each product in a dynamic factory, then quality evaluation can be thorough, but the process becomes too time-consuming and cannot keep up with rapid production changes
Solution Approach 1:
The patent creates a virtual copy of the factory (digital twin) that mirrors the physical factory's structure, equipment, and processes. This virtual model allows PFMEA to be executed automatically on the copy rather than manually on the actual factory, enabling rapid quality evaluation without time loss while maintaining evaluation accuracy through the faithful replication of factory dynamics
Solution Approach 2:
The patent pre-establishes the virtual factory model and populates it with equipment data, process parameters, and quality standards before actual production begins. This preliminary setup allows the PFMEA system to immediately evaluate quality issues as they arise during production, rather than requiring manual analysis after problems occur
2Adaptability or versatility
If the factory structure is made flexible to accommodate changing requirements and rapid adjustments, then adaptability improves, but the complexity of tracking and analyzing quality across varying processes increases
Solution Approach 1:
The patent creates a universal virtual factory model that can represent multiple physical factories with different structures and processes. This single system handles diverse production scenarios, equipment types, and quality requirements through standardized data structures and analysis methods, reducing the need for separate complex analysis systems for each factory configuration
Solution Approach 2:
The patent transitions from analyzing quality in the physical dimension (actual factory floor) to the virtual dimension (digital model). This dimensional shift allows complex quality relationships to be represented and analyzed more simply in the virtual space, where data can be manipulated and visualized without the constraints of physical layout
3Measurement precision
If manual PFMEA is used to ensure thorough quality analysis, then detection precision is maintained, but productivity decreases due to the time required for manual analysis
Solution Approach 1:
The patent replaces the manual mechanical process of PFMEA (human analysts examining processes) with an automated computational system. The virtual factory model and algorithmic analysis automatically detect failure modes and evaluate quality risks, maintaining detection precision through systematic analysis while eliminating the time consumption of manual review, thereby increasing production throughput
Data Source
AI summary
Conducting automatically a process failure mode and effect analysis, PFMEA, for a factory adapted to produce a product in a production process using a meta model, MM, stored or loaded in a data storage. The stored meta model, MM, comprises abstract factory model elements modeling an abstract factory, AF, including one or more service declarations modeling abstract services across different factories, wherein each service declaration comprises failure mode declarations for different failure modes.