Component Mounter Service Data Sharing for Cross-Base Operation Rates
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Solution Overview
Problem
Existing service supply methods for component mounters in production bases do not effectively address the variability in operation rates due to differences in electronic components and accommodation members from multiple manufacturers, leading to inconsistent performance across multiple production bases.
Innovation Solution
A service system and server configuration that acquires operation information from component mounters, analyzes it based on the type of electronic components and accommodation members, and transmits analyzed result data to other production bases to improve operation rates by identifying optimal manufacturers and adjusting settings accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If operation information is acquired only from a single production base and feedback is provided locally, then the service implementation is simple, but the operation rate improvement is limited and cannot be shared across multiple production bases
Solution Approach 1:
The patent merges data processing sections from multiple production bases into a unified server system. The server collects operation information from component mounters across different production bases, analyzes the data collectively, and distributes optimized settings back to all connected production bases. This combining approach enables shared learning and improvement across the entire network of production bases while maintaining individual base autonomy.
Solution Approach 2:
The server is designed with multi-functionality to serve multiple production bases simultaneously. It performs data collection, analysis, optimization, and distribution functions that benefit all connected production bases. The system provides universal service capabilities that can be applied across different locations and production environments, maximizing the operational improvements from a single centralized platform.
2Productivity
If multiple manufacturers' products are used without differentiation, then the procurement process is simple, but the operation rate varies due to quality differences in electronic components and accommodation members
Solution Approach 1:
The system implements local quality by analyzing operation information specific to each manufacturer's electronic components and accommodation members. The server identifies which manufacturers' products perform best in specific contexts and provides targeted recommendations for each production base based on their actual performance data. This approach recognizes that different manufacturers' products have different qualities and optimizes selections accordingly rather than treating all products uniformly.
Solution Approach 2:
The patent establishes a feedback loop where operation information from component mounters is continuously collected, analyzed, and used to generate recommendations that are fed back to production bases. This feedback mechanism enables the system to learn from actual performance data and continuously improve product selections and mounting parameters based on real-world results rather than theoretical specifications.
3Productivity
If operation information is not analyzed by manufacturer type, then the data processing is simple, but the ability to identify optimal manufacturers and improve operation rates is reduced
Solution Approach 1:
The server segments operation information by manufacturer type, separating data related to different electronic component manufacturers and accommodation member manufacturers. This segmentation allows the system to analyze performance characteristics specific to each manufacturer and identify patterns that would be obscured in aggregated data. The segmented analysis enables targeted recommendations for each manufacturer's products based on their specific performance profiles.
Solution Approach 2:
The system replaces manual analysis and selection processes with automated data processing and analysis algorithms. Instead of manually reviewing operation information to identify optimal manufacturers, the server automatically collects, processes, and analyzes the data using computational methods. This substitution of mechanical/manual processes with automated systems enables comprehensive analysis of manufacturer-specific performance without proportionally increasing human labor requirements.
Data Source
AI summary
A service system and a server capable of increasing an operation rate of a production base are provided. The server acquires operation information of a component mounter in a mounting work from a host computer in the production base. The server generates analyzed result data obtained by analyzing the operation information based on the types of the manufacturers (component manufacturer and the package manufacturer) of electronic component and the package. The server transmits the generated analyzed result data to host computers in the other production bases.