Product Line Testing System with Dynamic Flow Routing
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Solution Overview
Problem
Existing product testing methods for electronic products, such as smartphones, have complex testing flows and are time-consuming, leading to low testing efficiency and labor waste when testing stations are skipped.
Innovation Solution
A product line testing method and system that acquires identity information of products and current testing stations, compares target testing station information with current station information, and executes the appropriate testing flow or outputs prompt information based on the comparison result.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a testing station is skipped in the testing flow, then the testing time is reduced, but the testing accuracy deteriorates and retesting is required
Solution Approach 1:
The system implements feedback by having each testing station upload test values and results to a server. The server tracks the testing status of each product and provides feedback information to subsequent testing stations, ensuring that skipped stations can be identified and addressed appropriately without compromising testing accuracy.
Solution Approach 2:
The server acts as an intermediary between testing stations, collecting test values, tracking testing progress, and coordinating retesting when stations are skipped. This intermediary ensures that testing accuracy is maintained by managing the complex interactions between multiple testing stations and products.
2Device complexity
If a testing station is skipped in the testing flow, then the testing process is simplified, but labor waste increases due to retesting
Solution Approach 1:
The server provides feedback to the testing system about which stations have been skipped and which products require retesting. This feedback mechanism allows the system to optimize the testing flow dynamically, reducing unnecessary complexity while minimizing labor waste through targeted retesting only when necessary.
Solution Approach 2:
The testing flow is made dynamic by allowing stations to be skipped when appropriate, with the system automatically adjusting the testing sequence based on real-time feedback. Products that skip stations are automatically identified and scheduled for retesting only at the necessary stations, optimizing the balance between flow simplicity and resource utilization.
3Productivity
If multiple products with different model information are tested simultaneously, then the testing throughput is increased, but testing errors occur due to model mismatches
Solution Approach 1:
The server acts as an intermediary that manages multiple products with different model information. It tracks which testing stations are appropriate for each product model and coordinates the testing sequence, ensuring that products are tested at the correct stations while maintaining high throughput through parallel processing.
Solution Approach 2:
The testing process is segmented by product model, with the server dividing the testing flow into model-specific pathways. Products with the same model information are grouped together and routed through appropriate testing stations, while products with different models are handled separately, preventing testing errors while maintaining overall system productivity.
4Extent of automation
If the same test fixture tests multiple products, then the device utilization is improved, but model information conflicts cause testing failures
Solution Approach 1:
The test fixture configuration is made dynamic, allowing the same physical fixture to be reconfigured for different product models through software control. The server tracks which models are being tested and automatically adjusts the fixture settings between products, maximizing fixture utilization while preventing testing failures through proper model-specific configuration.
Solution Approach 2:
The testing parameters of the fixture are changed dynamically based on the product model being tested. The server manages parameter changes by retrieving model-specific test values and configurations from the database, allowing the same fixture to accurately test multiple different models without causing testing failures.
Data Source
AI summary
A product line testing method includes acquiring identity information of at least one to-be-tested product and identity information of a current testing station; acquiring target testing station information of the at least one to-be-tested product according to the identity information of the at least one to-be-tested product; and comparing the target testing station information with the identity information of the current testing station to generate a comparison result and, according to the comparison result, executing the testing flow of the current testing station or outputting testing prompt information. The technical solutions improve the efficiency of product testing.