Manufacturing Route Data Integration for Real-Time Issue Detection
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Solution Overview
Problem
Modern manufacturing systems face challenges due to compartmentalization across global geography, leading to information silos and issues such as product failures and waste, which reduce yield and product value.
Innovation Solution
Implementing a cloud-based multidimensional manufacturing data collection system that integrates data from various manufacturing routes, allowing for real-time data collection, analysis, and reporting across the product lifecycle, enabling corrective actions to prevent waste and extend product life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manufacturing systems are distributed across global geography, then manufacturing capacity and flexibility are improved, but information compartmentalization and data integration difficulties worsen
Solution Approach 1:
The patent combines data from multiple distributed manufacturing routes into a unified multidimensional database structure. Data from different geographical locations and manufacturing steps are merged into a single integrated system that allows comprehensive analysis across the entire manufacturing network, eliminating information silos while preserving the benefits of distributed manufacturing.
Solution Approach 2:
The patent introduces a cloud-based data collection and analysis system as an intermediary between distributed manufacturing routes. This intermediary collects, standardizes, and integrates data from various manufacturing locations, enabling information flow across the distributed system without requiring direct connections between all manufacturing nodes.
2Device complexity
If traditional manufacturing data collection methods are used, then implementation complexity is reduced, but ability to detect and address product issues in real-time worsens
Solution Approach 1:
The patent implements preliminary data collection and analysis capabilities that monitor manufacturing processes in real-time and identify potential product issues before they manifest as failures. By analyzing data patterns early in the manufacturing process and during product lifecycle, the system can predict and prevent problems before they occur, improving reliability without requiring complex real-time intervention systems.
3Productivity
If comprehensive data collection across all manufacturing routes is implemented, then product quality and yield are improved, but data processing and analysis requirements worsen
Solution Approach 1:
The patent segments the comprehensive manufacturing data into multiple dimensions including manufacturing route, product lifecycle stage, geographic location, and process step. This segmentation allows the system to collect and store detailed data from all manufacturing routes while organizing it in a manageable multidimensional structure that enables efficient querying and analysis without requiring monolithic data processing capabilities.
Data Source
AI summary
Systems and methods are described to improve efficiency in the manufacturing of a product for a manufacturer. The system includes a manufacturing route. The manufacturing route specifies at least two dimensions, where a first dimension of the at least two dimensions is a client machine and a second dimension of the at least two dimensions is a process associated with the client machine. A data stream is responsive to the plurality of dimensions. A database is configured to receive the data stream. A processor is configured to provide data from the data stream that indicate a symptom of a problem which can occur within the manufacturing route.