Absorbent Product Data Correlation via Synchronized Clocks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for manufacturing disposable absorbent articles face challenges in precisely correlating product inspection data, process data, and performance feedback data with individual absorbent articles due to asynchronous sensor technologies, slow response times, and data transportation delays, leading to inaccuracies in quality control and process adjustments.
Innovation Solution
A system that includes inspection sensors, process sensors, and a controller connected via a communication network to correlate inspection parameters, process parameters, and performance feedback parameters with individual absorbent articles, using synchronized clocks to normalize time-stamps and accurately track data across the manufacturing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional asynchronous sensor technologies and data transportation methods are used, then the system is simpler to implement, but the correlation accuracy between inspection data, process data, and performance feedback data with individual absorbent articles deteriorates due to slow response times and data delays
Solution Approach 1:
The system assigns a unique identifier to each absorbent article at the beginning of the manufacturing process, before inspection and performance testing occur. This preliminary tagging enables all subsequent data (inspection results, process parameters, performance feedback) to be pre-associated with the correct article, eliminating delays in data correlation and ensuring accurate tracking throughout the manufacturing cycle.
Solution Approach 2:
The system implements a feedback mechanism where performance feedback data from tested absorbent articles is continuously collected and used to adjust manufacturing parameters in real-time. This closed-loop feedback ensures that correlation accuracy is maintained and improved over time, as the system learns from actual product performance to optimize the association between manufacturing data and final product quality.
2Reliability
If traditional time-stamp based data recording is used, then the data storage system is simpler, but the ability to correlate events from different locations in the manufacturing process deteriorates due to asynchronous timing and data transportation delays
Solution Approach 1:
The system introduces a centralized data correlation server as an intermediary that receives data from multiple synchronized sensors and sensors across different manufacturing locations. This server acts as a mediator that consolidates time-synchronized data, correlates events with the correct absorbent articles using unique identifiers, and manages the complexity of synchronizing multiple data sources, thereby improving correlation reliability without requiring each individual sensor system to be overly complex.
3Productivity
If high-speed production rates are maintained, then productivity is improved, but the accuracy of correlating inspection data and process data with individual products deteriorates due to asynchronous sensor responses and control loop execution delays
Solution Approach 1:
By assigning unique identifiers to each absorbent article at the point of manufacture, the system establishes accurate product identification before high-speed production processes create data synchronization challenges. This preliminary tagging ensures that even at high production rates, each article's inspection data, process data, and performance feedback can be accurately correlated without requiring complex real-time synchronization during high-speed operation.
Data Source
AI summary
Systems and processes herein may be configured to correlate manufacturing parameters and performance feedback parameters with individual absorbent articles manufactured by a converting apparatus. Embodiments of the systems herein may include inspection sensors configured to inspect substrates and/or component parts advancing along the converting line and communicate inspection parameters to a controller and historian. The systems may also include process sensors configured to monitor equipment on the converting line and communicate process parameters to the controller and historian. The systems herein may also be adapted to receive performance feedback parameters based on the packaged absorbent articles. The systems may correlate inspection parameters, process parameters, and/or performance feedback parameters with individual absorbent articles produced on the converting line. The controller may also be configured to perform various functions based on the performance feedback parameters.


