Manufacturing Route Data Analysis for Distributed Quality Control
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Solution Overview
Problem
Modern manufacturing systems face challenges due to compartmentalization of information across geographically distributed steps, leading to product failures and waste, which reduce yield and product value.
Innovation Solution
Implementing a multidimensional manufacturing data collection system that configures manufacturing routes into a cloud-based database, allowing for real-time data collection and analysis across various processes, enabling the identification of issues before they become major problems and optimizing production efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manufacturing systems are geographically distributed across multiple locations, then production capacity and flexibility are improved, but information compartmentalization occurs leading to reduced manufacturing precision and increased product failure rates
Solution Approach 1:
The patent merges data from multiple geographically distributed manufacturing locations into a unified cloud-based database. This consolidation allows centralized analysis of manufacturing data across all locations, enabling consistent quality control and precision monitoring throughout the distributed system while maintaining the productivity benefits of geographic distribution.
Solution Approach 2:
The patent introduces a cloud-based database and data analysis system as an intermediary between geographically distributed manufacturing locations. This intermediary collects, standardizes, and analyzes data from all locations, ensuring consistent manufacturing precision across the distributed system while allowing each location to operate independently for maintaining high productivity.
2Reliability
If data is collected and analyzed in real-time across manufacturing routes, then product failures and waste are reduced, but system complexity and implementation costs increase
Solution Approach 1:
The patent creates a universal cloud-based database system that serves multiple functions: data collection from diverse manufacturing sources, real-time analysis across different product types and manufacturing routes, predictive failure detection, and waste reduction. This multi-functional system reduces reliability issues across various applications while avoiding the complexity of implementing separate specialized systems for each function.
Solution Approach 2:
The patent implements automated data collection and analysis systems that operate autonomously at manufacturing locations, automatically transmitting data to the cloud and receiving analytical insights without requiring complex manual intervention. This self-service approach reduces product failures through continuous monitoring while minimizing the operational complexity burden on users.
3Loss of information
If comprehensive manufacturing data is stored in a centralized database, then analytical capabilities and decision-making are improved, but data transmission time and network requirements increase
Solution Approach 1:
The patent implements preliminary data processing and filtering at the source locations before transmission to the centralized cloud database. This preliminary action prepares and validates data locally, reducing the volume and complexity of data that needs to be transmitted, thereby minimizing data transmission time while ensuring comprehensive manufacturing data is captured and made available for analysis.
Data Source
AI summary
Systems and methods are described to provide product and process improvement of a product. A manufacturing route has a manufacturing route key. The manufacturing route is configured to accept data from a client machine. The data is associated with the manufacturing route key using the multidimensional data warehouse schema to form multidimensional manufacturing route data. The multidimensional manufacturing route data is stored in the multidimensional manufacturing route database. The manufacturing route key identifies the manufacturing route from a plurality of manufacturing routes within the multidimensional manufacturing route database. A processor is configured to receive an input. The input is a cause added in response to a symptom wherein a symptom/cause relationship is established to provide a basis for product and process improvement using data that is extracted from the multidimensional manufacturing route database.