Data Output System Monitoring for Peak Load Management
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Solution Overview
Problem
Data output systems, particularly in banking and insurance, face high loads and delays during peak periods, leading to printing faults and significant costs due to the need for reprints of thousands of statements.
Innovation Solution
A data output system with a monitoring device that delays data set delivery to the printing device based on user and data set priority, allowing for efficient management of printing capacity and reducing peak loads by consolidating outputs for users with lower priority, thereby minimizing reprints and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the printing device processes high volumes of data output during peak periods, then the productivity is improved, but the reliability deteriorates due to printing faults and delays
Solution Approach 1:
The system performs preliminary actions by monitoring and validating data sets before they are delivered to the printing device. The monitoring device checks for faults in data sets prior to printing, and the control device prevents delivery of faulty data sets, thereby avoiding printing faults and reprints during peak periods while maintaining high productivity
Solution Approach 2:
The monitoring device provides feedback about the quality and status of data sets to the control device. This feedback mechanism enables the system to identify and prevent faulty data sets from being printed, maintaining reliability even when processing high volumes during peak periods
2Loss of time
If the data output control device delivers all data sets immediately, then the time efficiency is improved, but the reliability worsens due to overloading the printing device
Solution Approach 1:
The control device performs preliminary monitoring and validation of data sets before delivery to the printing device. This preliminary action ensures that only valid data sets are delivered, preventing overloading and maintaining printing capacity stability while minimizing delivery time through efficient filtering
Solution Approach 2:
The system dynamically adjusts data delivery based on printing device capacity and data set validity. The control device monitors the state of the printing device and regulates data delivery accordingly, optimizing both time efficiency and reliability by preventing overload conditions
3Device complexity
If the system processes data without monitoring, then the device complexity is reduced, but the loss of information increases due to undetected printing faults
Solution Approach 1:
The monitoring device provides feedback about data set quality and printing device status. This feedback enables detection of printing faults without significantly increasing system complexity, as the monitoring is integrated into the existing data flow between the control device and printing device
Solution Approach 2:
The monitoring device acts as an intermediary between the control device and printing device. It provides fault detection capabilities without requiring complex integration into the core printing system, maintaining relative simplicity while preventing information loss through fault detection
Data Source
AI summary
The invention relates to a data output method and to a data output system comprising:a printing device;a database device in which corresponding reference data and/or control data are stored for a plurality of data output system users;a data output control device providing or compiling corresponding output data sets and delivering same to the printing device; anda device for monitoring the providing or compiling and/or the delivering of the output data sets to the printing device.