Packaging Process Control Using Unit Data Images
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
High-speed manufacturing processes for packaging containers face challenges in accurately optimizing performance without significant resource allocation or disrupting production, leading to sub-optimal results.
Innovation Solution
Associating packaging units with unique data images and storing process parameters to dynamically optimize and control each unit across the manufacturing line, allowing for real-time monitoring and compensation of deviations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high-speed manufacturing processes are used to increase throughput, then productivity is improved, but manufacturing precision deteriorates due to difficulty in accurately characterizing and optimizing package container performance
Solution Approach 1:
The patent creates digital copies (data images) of each packaging unit that capture its unique characteristics and process parameters. These digital twins allow for precise tracking and optimization of each unit's performance without physically interrupting the high-speed production flow, thereby maintaining both high throughput and manufacturing precision
Solution Approach 2:
The system implements continuous feedback by recording process parameters and quality data for each packaging unit, storing them in data images, and using this information to adjust and optimize subsequent processing. This real-time feedback loop enables precise control at high speeds by continuously learning from actual performance data
2Manufacturing precision
If resources are significantly increased for performance optimization, then manufacturing precision is improved, but device complexity and cost increase
Solution Approach 1:
The system enables self-service optimization by automatically capturing, storing, and utilizing process parameters and quality data for each packaging unit without requiring extensive external intervention or complex additional resources. The data images serve as self-contained repositories that guide subsequent processing decisions
Solution Approach 2:
The data image structure serves multiple functions simultaneously: it identifies the packaging unit, stores process parameters, records quality data, and provides optimization guidance. This multi-functionality consolidates what would otherwise require multiple separate systems into a single integrated solution, reducing overall device complexity
3Manufacturing precision
If process parameters are optimized for each individual packaging unit, then manufacturing precision is improved, but the complexity of controlling each unique unit increases
Solution Approach 1:
Instead of creating complex physical control systems for each individual unit, the patent creates simplified digital copies (data images) that contain all necessary information for optimizing each packaging unit's processing. This digital representation approach maintains individual unit optimization while avoiding the complexity of duplicate physical control infrastructure
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A system (200) for controlling a manufacturing process for packaging units (301', 302') is disclosed, the packaging units are manufactured from a packaging material (301, 302) comprising machine readable identifiers (c1, c2). A control unit (210) associates the identifiers with corresponding data images (201, 202) of the packaging units, wherein for a first process application (a1) to manipulate packaging material (301) based on a first set of process parameters (pi), the control unit is configured to store at least part of the first set of process parameters (p1) to the associated data image, wherein for a subsequent second process application (a2) to manipulate said packaging material (301), read at least part of the first set of process parameters (p1) stored in said associated data image (201) to control the second process application (a2) based on at least part of the first set of process parameters (p1).