Print Engine Delay Tracking for Production Time Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Print shops face inefficiencies in production printing due to variable productivity dependent on press operators, leading to underutilization of capacity and profitability issues if jobs take longer than estimated.
Innovation Solution
A method and system to track productivity by detecting print engine delays using sensors, categorizing them as equipment or operator issues, aggregating delays, determining actual production time, and comparing it to estimates, with alerts for efficiency thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If productivity tracking is implemented to monitor print engine delays, then manufacturing precision of productivity measurement is improved, but device complexity increases due to additional sensors and data processing systems
Solution Approach 1:
The print engine automatically tracks its own productivity metrics using integrated sensors and controllers, eliminating the need for external monitoring equipment. The system self-measures delays, categorizes them as equipment or operator issues, and generates efficiency reports autonomously during printing operations.
Solution Approach 2:
The existing print engine controller is enhanced to perform multiple functions: traditional printing control plus productivity tracking, delay detection, cause categorization, and efficiency calculation. This multi-functional approach avoids adding separate dedicated monitoring hardware, reducing overall system complexity while improving measurement precision.
2Productivity
If actual production time is tracked and compared to estimated production time, then productivity is improved through efficiency optimization, but loss of time increases due to data collection and processing overhead
Solution Approach 1:
Productivity tracking and data collection occur continuously during printing operations without interrupting the printing process. Sensors monitor print engine status in real-time, and data is accumulated throughout the job rather than requiring separate measurement periods, eliminating idle time for data collection.
Solution Approach 2:
The system pre-calculates estimated production times before printing begins based on job specifications and historical data. This allows immediate comparison with actual times as printing progresses, enabling real-time efficiency monitoring without post-processing delays.
3Reliability
If delay causes are categorized as equipment or operator issues, then reliability is improved through targeted problem resolution, but device complexity increases due to classification algorithms and additional monitoring
Solution Approach 1:
Delay causes are segmented into distinct categories (equipment issues vs. operator issues) based on specific detectable conditions. Sensors monitor particular parameters such as paper jams, toner levels, and operator intervention events, automatically assigning delays to appropriate categories through simple rule-based logic rather than complex algorithms.
Data Source
AI summary
A printing system includes at least one printing device. A print job is received at the printing device, which performs printing operations. The print engine of the printing device is detected as not printing. The delay caused by not printing is determined using a sensor related to a component in the printing device. The cause of the delay is categorized as an equipment issue or an operator issue. The delays are compiled after completion of the print job. An actual production time for completing the print job is determined including the compiled time delays. The actual production time is used to analyze the efficiency of the printing device.