Print Job Setting Control Program for Operator Input Reduction

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Solution Overview

Problem

The existing print job setting systems face challenges with complex constraint conditions, leading to increased costs for machine learning and a high likelihood of input mistakes, especially when dealing with multiple companies' products, where compatibility issues are unpredictable, and operators must manually input cancellation information, increasing workload.

Innovation Solution

A setting control program that automatically registers problematic items in a database by classifying setting values as reliable or uncertain, reducing operator input load by displaying setting values in a correctable manner and saving uncorrected values, allowing for distinguishable registration and learning of problematic settings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If setting information of print jobs is registered in a database with machine learning to extract appropriate setting candidates, then the facilitation of setting work is improved, but the cost for machine learning increases due to complex constraint conditions

Engineering Contradiction:
Improvesetting work facilitationVSAvoidmachine learning cost
Core Design Contradiction:
Ease of operationVSQuantity of substance

Solution Approach 1:

The patent segments the registration process into two distinct pathways: automatic registration for problematic settings and manual registration for normal settings. This segmentation reduces the overall registration load and allows machine learning to focus only on problematic cases rather than all settings, thereby reducing machine learning costs while maintaining ease of operation.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system implements self-service by automatically detecting problematic settings and registering them in the database without requiring operator intervention. The apparatus autonomously identifies settings that deviate from normal patterns and handles the registration process automatically, reducing both operator workload and the volume of data requiring machine learning processing.

Inventive Principle:
Principle #25Self-service

2Reliability

If an operator explicitly inputs and registers print cancellation information after printing has been cancelled, then the database can be updated for future countermeasures, but the operator's workload increases

Engineering Contradiction:
Improvedatabase update for countermeasuresVSAvoidoperator work efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system performs automatic registration of problematic settings without requiring operator action. When a print job is cancelled or encounters issues, the apparatus automatically detects this as a problematic setting and registers it in the database, eliminating the need for operators to manually input cancellation information and thereby maintaining productivity while ensuring database reliability.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system implements automatic feedback loops where printing results and cancellations are continuously monitored and fed back to the database through automatic registration. This feedback mechanism ensures the database remains updated with current problematic settings without requiring manual operator intervention, thus maintaining reliability while preserving operator productivity.

Inventive Principle:
Principle #23Feedback

3Ease of manufacture

If problematic settings are automatically registered without classification, then the registration process is simplified, but the ability to distinguish between different types of problematic settings is reduced

Engineering Contradiction:
Improveregistration process simplicityVSAvoiddistinction between problematic setting types
Core Design Contradiction:
Ease of manufactureVSLoss of information

Solution Approach 1:

The patent applies local quality by implementing different registration approaches for different types of settings: automatic registration with full classification for problematic settings and simplified registration for normal settings. This localized differentiation maintains information quality where needed (problematic settings) while keeping the overall process simple elsewhere.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The registration process is segmented into classified registration for problematic settings and unclassified registration for normal settings. This segmentation preserves detailed information about problematic settings through classification while maintaining process simplicity for routine settings, thus preventing information loss where it matters most without complicating the overall system.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10649699B2Setting control program and setting control method
Publication Date: 2020.05.12 KONICA MINOLTA INC
  • US10649699B2 patent drawing
  • US10649699B2 patent drawing
  • US10649699B2 patent drawing

AI summary

A non-transitory recording medium storing a computer readable setting control program operating on an apparatus that corrects a print job, causes the apparatus to perform: by reading previously-registered setting information of the print job, displaying a setting value of each of items in a correctable manner; saving, in a storage, when a setting value of any one of the items is corrected, an uncorrected setting value of the item; and by classifying the items of the print job into a first item a setting value of which has not been corrected and a second item a setting value of which has been corrected, registering, in a database in a distinguishable manner, a set of the first item and the setting value of the first item and a set of the second item and an uncorrected setting value of the second item.