Multi-Function Device Job Cancellation Feedback System
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Solution Overview
Problem
There is no automated system to track and inform users or service teams about recurring issues with multi-function devices, leading to repetitive job cancellations and unsatisfactory output due to lack of real-time feedback on device errors.
Innovation Solution
A method and system that allow users to select reasons for cancelling jobs, which are analyzed to notify admin users in real-time, enabling appropriate actions and alerting new users about existing problems, thus preventing further job submissions until issues are resolved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually call service team to report device errors, then device issues can be rectified, but user time and effort are significantly consumed
Solution Approach 1:
The system automatically detects job cancellations, analyzes cancellation reasons, identifies recurring device errors, and notifies the service team without requiring user intervention. The device performs self-monitoring and self-reporting functions, eliminating the need for users to manually call the service team.
Solution Approach 2:
The system implements automated feedback loops where job cancellation data is collected, analyzed, and used to generate notifications to the service team. This continuous feedback mechanism ensures device issues are reported and rectified automatically, improving reliability while minimizing user time investment.
2Reliability
If service team is notified only after user logs complaint, then device errors are eventually rectified, but significant time delay occurs and subsequent users are affected
Solution Approach 1:
The system performs preliminary analysis of job cancellation reasons in real-time, identifying device errors before they affect multiple users. The automated detection and notification system acts in advance, alerting the service team to potential issues before they propagate across the user base, thereby reducing overall time delay.
Solution Approach 2:
The system continuously monitors job cancellations and maintains real-time analysis of cancellation reasons. This continuous monitoring ensures that device errors are detected immediately upon occurrence and the service team is notified without delay, maintaining uninterrupted useful action in error detection and reporting.
3Device complexity
If no automated tracking system is implemented, then device management remains simple, but repetitive job cancellations occur due to lack of real-time feedback on device errors
Solution Approach 1:
The device automatically tracks job cancellations, analyzes cancellation reasons, and generates notifications without requiring external management systems. This self-service capability provides automated real-time feedback on device errors, improving job completion rates while adding minimal complexity to the overall system architecture.
Solution Approach 2:
The patent replaces manual device management mechanisms with automated electronic monitoring and analysis systems. Software-based tracking and analysis substitute for manual intervention, providing real-time feedback that improves productivity while keeping the added complexity manageable through digital automation.
4Ease of operation
If users are not informed about existing device problems, then device usage remains unrestricted, but users submit jobs that result in unsatisfactory output
Solution Approach 1:
The system provides automated feedback to users about device errors by notifying them when their submitted jobs may be affected by known issues. This feedback mechanism allows users to make informed decisions about job submission, maintaining ease of operation while preventing unsatisfactory output through proactive error communication.
Data Source
AI summary
The present disclosure discloses methods and systems for managing cancelled jobs at a multi-function device. The method includes receiving a request from a user to cancel a job submitted at the multi-function device. Based on the request, a user interface is provided to the user. The user interface includes one or more pre-defined options related to cancelling the job, for selection by the user. The one or more pre-defined options can be quality related option or non-quality related option. The selected pre-defined option is analyzed and based on the analysis, an admin user is notified in real-time to take an appropriate action.


