ERP Equipment Taxonomy for Failure Reporting
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Solution Overview
Problem
Conventional ERP systems for managing enterprise equipment assets face challenges in data architecture and methodology, leading to ineffective equipment failure reporting and maintenance, which hinders optimal operational performance and increases safety and environmental risks.
Innovation Solution
An ERP/EAM system employing an equipment taxonomy that maps physical objects to functional locations within a hierarchical structure, enabling comprehensive and relational data collection and analysis for enterprise-wide equipment failure reporting and preventive maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional ERP systems are used for enterprise asset management, then basic equipment tracking is possible, but data architecture complexity and ineffective failure reporting hinder operational performance
Solution Approach 1:
The patent segments equipment data into hierarchical categories (equipment, facilities, functional locations) with standardized attributes. This segmentation organizes complex data into manageable, structured units that can be efficiently queried and analyzed, resolving the contradiction between data quality and architectural complexity.
Solution Approach 2:
The patent changes the parameter structure of equipment data by implementing standardized data fields and relational schemas. This transformation converts unstructured or semi-structured data into standardized parameters that can be consistently tracked and analyzed across the enterprise, improving reliability without proportionally increasing complexity.
2Loss of information
If comprehensive equipment data collection is implemented, then better failure analysis is possible, but data merging and assessment become inefficient data mining exercises
Solution Approach 1:
The patent implements feedback mechanisms where equipment data is continuously collected, analyzed, and used to improve maintenance decisions. The system provides feedback loops that connect failure data collection with preventive maintenance scheduling, enabling efficient utilization of comprehensive data without manual data mining.
Solution Approach 2:
The patent introduces an intermediary data layer with standardized schemas and relational structures that mediates between raw equipment data and analysis processes. This intermediary layer organizes comprehensive data into accessible formats, eliminating the need for time-consuming manual data mining while preserving information completeness.
3Adaptability or versatility
If ERP systems integrate multiple corporate data repositories, then enterprise-wide equipment view is achieved, but effectiveness diminishes due to data architecture issues
Solution Approach 1:
The patent creates a universal equipment data schema that can accommodate multiple data sources and types within a single standardized framework. This universal structure enables the system to integrate diverse corporate data repositories while maintaining ease of operation through consistent data access methods across all integrated sources.
4Quantity of substance
If traditional equipment management approaches are used, then actual repair costs are tracked, but production loss and safety consequences are not accounted for
Solution Approach 1:
The patent implements preliminary action by using collected equipment data to predict potential failures and schedule preventive maintenance before actual failures occur. This proactive approach accounts for all failure consequences including production loss and safety risks, while maintaining productivity by preventing disruptions before they happen.
Data Source
AI summary
An information (ERP/EAM) system and equipment taxonomy for representing and managing of equipment, equipment subunits and component parts thereof across an enterprise that maps materialized physical objects to functional physical objects within a hierarchy of functional locations within the enterprise for all enterprise assets in accordance with applicable industry standards. The ERP/EAM system and the equipment taxonomy also provide multi-leveled failure reporting.