Parser Orchestration for Digital Technology Transfer Modeling
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Solution Overview
Problem
Existing technology transfer documents lack a scalable and efficient method for transforming structured natural language formats into standardized hierarchical models, leading to inefficiencies in document versioning, approval tracking, and digital formalization of manufacturing processes.
Innovation Solution
A digital technology transfer system that converts technology transfer documents into a hierarchical structured model using a combination of general and custom parsing mechanisms, integrating a scalable parser orchestration engine to extract and standardize content, and generates a package model conforming to industrial standards like ISA-88.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If technology transfer documents are maintained in structured natural language format, then document readability and flexibility are improved, but document versioning and approval tracking become inefficient
Solution Approach 1:
The system segments technology transfer documents into discrete, versionable units such as process steps, parameters, and control points. Each segment can be independently tracked, approved, and versioned, enabling efficient document management while preserving the overall document structure and readability.
Solution Approach 2:
The system introduces an intermediary digital model layer that sits between the natural language document and the version control system. This intermediary structure enables automated tracking of changes, approvals, and versions without requiring manual intervention, thus improving productivity while maintaining document flexibility.
2Measurement precision
If custom parsing rules are created for each technology owner, then extraction accuracy is improved, but system complexity and maintenance burden increase
Solution Approach 1:
The parsing system is designed to be dynamic and adaptive. It automatically adjusts parsing rules based on the technology owner's document format and structure, eliminating the need for manual creation and maintenance of custom rules for each owner. The system learns and adapts to different formats, maintaining high extraction accuracy while reducing system complexity.
Solution Approach 2:
The system enables easy modification of parsing parameters and rules without requiring system reconfiguration. Technology owners can adjust extraction parameters through simple configurations or interfaces, allowing the system to adapt to different document formats and structures without increasing underlying system complexity.
3Manufacturing precision
If comprehensive table data extraction is performed, then manufacturing process accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary identification and classification of table structures during the initial parsing phase. By pre-processing and organizing table data before detailed extraction, the system reduces the computational burden during subsequent processing steps, maintaining high accuracy while reducing overall processing time.
Solution Approach 2:
The system extracts only the essential and relevant table data required for manufacturing processes, rather than comprehensively extracting all possible data. This selective extraction approach maintains the necessary manufacturing precision while significantly reducing processing time and computational resource requirements.
4Extent of automation
If hierarchical package models are generated, then digital formalization is improved, but integration complexity with existing systems increases
Solution Approach 1:
The hierarchical package model is designed with universal interfaces and standardized structures that can integrate with multiple existing manufacturing systems and digital platforms. The model serves multiple functions including process definition, control parameter management, and system integration, reducing overall integration complexity while maintaining high digital formalization.
Data Source
AI summary
A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. To reduce dependency on custom-built parsers for each type of document format, the system integrating both custom and general parsing mechanisms into a scalable parser orchestration engine.