Print Service Parameter Filtering for Real-Time Production Visibility
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Solution Overview
Problem
Print service providers face challenges in efficiently analyzing and utilizing the vast amounts of data collected during production due to ad-hoc data logging, leading to difficulty in understanding operations in real-time and making informed decisions, especially in 'digital dead zones' with analog devices.
Innovation Solution
Implementing a system that collects and filters print service parameters in real-time, using a combination of production rule engines, intelligence gathering engines, and hybrid engines to prioritize and make data available for dynamic feedback, enabling real-time monitoring and optimization across digital and analog production processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If ad-hoc data logging is implemented to collect all possible data, then data completeness is improved, but data usability deteriorates due to large volume and diverse quality
Solution Approach 1:
The patent extracts and separates useful data from the raw data stream by implementing a filtering system that identifies and retains only relevant information. The system extracts key parameters (job status, machine status, quality metrics) and separates them from irrelevant data, thereby reducing data volume while maintaining usability for analysis and decision-making.
Solution Approach 2:
The patent applies different filtering criteria to different data sources and contexts. Instead of uniform processing, the system adjusts filtering parameters based on the specific type of data (digital vs. analog processes, different job types) to optimize both completeness and usability for each local context.
2Loss of information
If data is stored in raw format in large databases, then data availability is improved, but retrieval and analysis time increases
Solution Approach 1:
The patent performs preliminary data processing and filtering at the point of data generation rather than storing raw data. The system pre-processes data to extract meaningful information and store only processed data in optimized formats, enabling faster retrieval and analysis while maintaining availability of necessary information.
3Productivity
If basic statistics are calculated automatically, then operational visibility is improved, but understanding of individual jobs deteriorates
Solution Approach 1:
The patent segments the data processing into different levels: aggregate statistics for operational visibility and individual job-level data for detailed analysis. The system maintains both levels by separating summary metrics from granular job-specific parameters, enabling users to access appropriate detail levels without overwhelming information.
4Device complexity
If analog device processes are ignored, then system complexity is reduced, but operational understanding deteriorates in digital dead zones
Solution Approach 1:
The patent creates a universal data collection and processing framework that works for both digital and analog processes. The same filtering and analysis tools are applied across different process types, enabling consistent operational understanding throughout the facility while avoiding the need for separate complex systems for each process type.
Data Source
AI summary
Systems and methods of data filtering for a print service provider (PSP) are disclosed. An exemplary method includes receiving a plurality of print service parameters. The method also includes filtering the plurality of print service parameters, wherein a portion of the received plurality of print service parameters are retained in machine readable format. The method also includes saving the filtered print service parameters for enhancing automatic and manual print production processes.