Dynamic Job Sequence Control in Printing Systems
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Solution Overview
Problem
Existing manufacturing systems face challenges in simultaneously producing multiple jobs with dynamic job sequences and job runs, where the original job sequence cannot be assumed due to varying processing times, variable printing amounts, and external instructions, leading to potential interruptions and quality losses if not managed effectively.
Innovation Solution
A method that involves physical detection of the printing situation using barcode reading and additional information flow to identify jobs and job ends, allowing for dynamic control of the printing process, ensuring continuous operation and minimizing interruptions by integrating this information into the plant controller for adaptive job sequence management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system processes multiple jobs with dynamic sequences and variable printing amounts, then productivity and adaptability are improved, but job tracking accuracy and process reliability deteriorate due to varying processing times and unexpected interruptions
Solution Approach 1:
The system continuously monitors the actual printing situation by detecting printed marks on sheets and compares this real-time feedback with the planned job sequence. The plant controller uses this feedback to detect deviations and dynamically adapt the job sequence, ensuring accurate tracking despite variable processing times and interruptions. This closed-loop feedback mechanism resolves the contradiction by maintaining reliability through continuous monitoring and correction while enabling high productivity through dynamic adaptability.
Solution Approach 2:
The system implements dynamic job sequence management where the processing order and parameters can change in real-time based on actual production conditions. Instead of following a fixed sequence, the plant controller continuously adapts the job sequence according to detected printing situations, machine status, and job priorities. This dynamic approach allows the system to maintain accurate job tracking while processing multiple jobs simultaneously with varying requirements, resolving the contradiction between productivity and reliability.
2Adaptability or versatility
If the system dynamically adapts job sequences during manufacturing, then adaptability and interruption prevention are improved, but system complexity and control difficulty increase
Solution Approach 1:
The plant controller serves multiple functions: it manages the basic printing process, monitors job sequences, detects printed marks, tracks multiple jobs simultaneously, and dynamically adapts processing parameters. By consolidating these diverse functions into a single multi-functional control system, the patent reduces overall system complexity while maintaining high adaptability. The universal controller handles both routine operations and dynamic adjustments without requiring separate specialized systems for each function.
Solution Approach 2:
The system uses the printed marks that are already being produced during normal printing operations to carry additional identification information. Instead of requiring separate sensing systems or complex external markers, the printed marks themselves serve dual purposes: they are both the product output and the tracking medium. This self-service approach allows the system to gather tracking information from the printing process itself, reducing the need for additional complex monitoring infrastructure while enabling dynamic adaptability.
3Measurement precision
If continuous monitoring and additional information packets are used to track jobs, then job tracking accuracy and quality control are improved, but information processing load and system resource consumption increase
Solution Approach 1:
The system extracts job identification and tracking information directly from the printed marks that are already being produced during normal printing operations. Instead of adding separate sensing systems or external markers that would require additional energy, the system utilizes the existing printed output as the information carrier. This extraction approach allows precise job tracking while minimizing additional energy consumption, as the information is obtained from the printing process itself rather than requiring separate monitoring systems.
Data Source
AI summary
A method for operating a system for a multiple dynamic job sequence includes providing a packet of information in order to process different production runs. An additional packet of information is used to inquire about respective states during the manufacturing process so as to enable interventions to be made based on the jobs being not processed as originally. An additional packet of information is received, from which information regarding physical detection of a printing and processing situation is taken such that each downstream processing machine is able to identify the job and a job end. By identifying the job and the job end, an additional packet of information is forwarded to the plant controller, the plant controller detecting an actual state of the manufacturing process therefrom such that new or adapted job sequences and job ends are directly defined during the manufacturing process.
