Manufacturing Data Model Template for Life Cycle Traceability
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Solution Overview
Problem
Existing information management systems fail to provide a clear picture of the entire manufacturing life cycle and analyze it effectively from the perspective of 'the thing performed and the state and situation during the performance,' making it difficult to trace and analyze manufacturing processes across different products.
Innovation Solution
An information management system that integrates manufacturing planning, achievement, and field/product use data using a data structure definition template to organize and store manufacturing achievement data, allowing for real-time collection and analysis of information across the product life cycle, including 'subject, object, event, time, place, situation, and cause' (6W1H), enabling clear tracing and analysis of manufacturing processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If manufacturing achievement data is collected from multiple data sources without a standardized structure, then the quantity of collected information increases, but the clarity and traceability of the manufacturing life cycle picture deteriorates
Solution Approach 1:
The patent segments manufacturing achievement data into distinct categories (thing performed, state, situation) with specific data elements for each category. This segmentation allows comprehensive data collection while maintaining organizational clarity, enabling the system to present a clear picture of the manufacturing life cycle by structuring large volumes of data into manageable, meaningful units.
Solution Approach 2:
The patent changes the parameter of data organization from unstructured or semi-structured formats to a highly structured format with defined data elements, categories, and relationships. This parameter change in data structure enables both comprehensive data collection and clear presentation, resolving the contradiction between quantity and clarity.
2Ease of operation
If manufacturing data is organized without a standardized template, then the ease of data collection increases, but the ability to trace and analyze processes across different products deteriorates
Solution Approach 1:
The patent creates a universal data structure definition template that can be applied across different manufacturing processes and products. This template serves multiple functions: it standardizes data collection, enables consistent organization, and provides a common framework for traceability. The universality of the template allows the same structure to handle diverse manufacturing data while maintaining traceability across different products.
Solution Approach 2:
The patent changes the parameter of data organization from ad-hoc or product-specific formats to a standardized template with fixed data elements and categories. This parameter change enables automated data collection while ensuring consistent structure that supports traceability, resolving the contradiction between ease of collection and reliability of analysis.
3Device complexity
If manufacturing achievement data is stored without temporal organization, then the simplicity of storage increases, but the ability to record and analyze changes over time deteriorates
Solution Approach 1:
The patent segments the data storage structure by introducing a temporal dimension, dividing manufacturing achievement data into time-ordered records. Each record contains timestamp information and captures the state of manufacturing processes at specific moments. This segmentation enables simple storage of individual records while collectively providing comprehensive temporal analysis capability.
Data Source
AI summary
An information management system includes: a storage section storing a data model created based on product manufacturing planning, the data model corresponding to an area where manufacturing achievement data from the manufacturing process is accumulated; an information collection section configured to collect various types of data forming the manufacturing achievement data from a data source involved in the manufacturing process; and a manufacturing management section configured to store the manufacturing achievement data in the associated data model. The manufacturing management section is configured to use the various types of data to create the manufacturing achievement data according to a data structure definition template for organizing the various types of data in association with a thing performed and a situation during the performance in the manufacturing process.