Item Record Interchange System for PLM Data Standardization
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Solution Overview
Problem
Current PLM solutions face inefficiencies due to variations in naming conventions for organizations and part numbers, leading to manual and error-prone processes for BOM cleansing and vendor name standardization, resulting in delays and increased costs.
Innovation Solution
A system and method for managing item record interchange that integrates disparate sources into a standard format, using modules for aliasing, validation, and enrichment to standardize item indicia, automate cleansing, and validate records, thereby improving sourcing and inventory consolidation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processes are used for BOM cleansing and vendor name standardization, then flexibility and adaptability are maintained, but productivity is reduced and error rates increase
Solution Approach 1:
The system enables automated self-service through the cleansing module that automatically standardizes vendor names and part numbers by comparing against master data, eliminating the need for manual intervention in routine standardization tasks while maintaining accuracy
Solution Approach 2:
Manual mechanical processes for BOM cleansing are replaced with automated electronic systems including validation modules, cleansing modules, and master data management systems that perform standardization operations automatically through software algorithms
2Productivity
If automated processes are implemented for item record interchange, then productivity and accuracy are improved, but device complexity increases
Solution Approach 1:
The automated system is segmented into distinct functional modules including intake modules for receiving item records, validation modules for checking data quality, cleansing modules for standardization, and master data management modules, allowing each to be developed and maintained independently
Solution Approach 2:
Master data serves as an intermediary reference that mediates between incoming item records and the standardization process, providing the authoritative source for vendor names and part numbers that the cleansing module uses to automatically standardize data without requiring complex decision logic
3Measurement precision
If comprehensive validation rules are executed for item indicia, then data accuracy is improved, but processing time increases
Solution Approach 1:
Validation rules are configured and master data is prepared in advance before item records arrive, allowing the validation module to immediately compare incoming records against pre-established criteria without requiring complex real-time analysis
Solution Approach 2:
The system applies validation rules selectively based on the specific item record type and required data quality level, applying only necessary validation checks rather than exhaustive validation on all fields, thereby reducing processing time while maintaining required accuracy
Data Source
AI summary
A system and method are provided for automatically managing item record interchange in a business enterprise, where an item may be a product, component part, partially assembled or manufactured part, a process, or other item that requires indicia used to identify it within a business enterprise, whether it is a single company enterprise, or a widespread business that receives items from other sources such as manufacturers, suppliers, purchasers, shippers, or other entities. The system provides a universal solution that allows the intake of item records, such as records for manufacturer component parts shipped to a product manufacturer, and integrating the part records from disparate sources into a standard and useable format.