Quality Testing Threshold Setting Through Inspection Data Analysis

Solution Overview

Problem

Traditional methods for setting testing thresholds in quality control require multiple manual adjustments, resulting in significant time and cost due to the need for repeated inspections and recalibrations.

Innovation Solution

A device and method utilizing a processor and data storage system to automatically adjust testing thresholds by analyzing inspection results, counting different types of product quantities, and calculating the effectiveness of various threshold settings to suggest optimal thresholds.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional manual inspection methods are used to set testing thresholds, then engineers can determine the final testing threshold through repeated adjustments, but significant time and cost are required for multiple adjustments and recalibrations

Engineering Contradiction:

Improvetesting threshold accuracyVSAvoidtime for threshold setting

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs self-service by automatically collecting inspection data, analyzing results, and determining optimal testing thresholds without requiring repeated manual adjustments by engineers. The automated system serves itself to establish thresholds based on statistical analysis of production data.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The manual mechanical process of threshold setting by engineers is replaced with an automated computational system that uses data analysis and algorithms to determine testing thresholds, eliminating the need for repeated manual recalibrations.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If traditional manual inspection methods are used to set testing thresholds, then engineers can determine the final testing threshold through repeated adjustments, but significant cost is required for multiple adjustments and recalibrations

Engineering Contradiction:

Improvetesting threshold accuracyVSAvoidcost of threshold setting

Core Design Contradiction:

Measurement precisionVSEase of manufacture

Solution Approach 1:

The system performs self-service by automatically collecting inspection data, analyzing results, and determining optimal testing thresholds without requiring repeated manual adjustments by engineers. The automated system serves itself to establish thresholds based on statistical analysis of production data.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The manual mechanical process of threshold setting by engineers is replaced with an automated computational system that uses data analysis and algorithms to determine testing thresholds, eliminating the need for repeated manual recalibrations.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If automated threshold setting is implemented, then time and cost are reduced, but the system requires complex data processing and analysis capabilities

Engineering Contradiction:

Improvethreshold setting efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system achieves multi-functionality by integrating data collection, statistical analysis, threshold determination, and result output into a single automated platform. This universal system handles multiple tasks that would otherwise require separate manual processes, justifying the complexity through consolidated functionality.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11255705B2Method for setting quality thresholds of products for testing purposes and device employing method

Publication Date: 2022.02.22 FULIAN PRESION ELECTRONICS (TIANJIN) CO LTD

AI summary

A method for setting testing thresholds applied by a testing device to products being made includes obtaining an initial lower threshold for testing the products and counting, followed by manual review, first, second, third, and fourth type product qualities as being quantities under the initial lower threshold. The method adds a minimum product parameter of defective products, the initial lower threshold, and a number of values between the minimum product parameter and the initial lower threshold into a set, repeating the application of one selected element from the set as an experiment threshold. First to fourth type quantities of the current products are counted again under the experiment threshold, an effectiveness of each element of the set is calculated, and an element of the set with the maximum effectiveness is defined as a suggested lower threshold for testing the products.