Workflow Reminder Timing Based on Task History Averages
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Solution Overview
Problem
Conventional workflow systems often fail to effectively prevent task omissions and delays due to mechanical notifications that lack operator attention, leading to inefficiencies in document approval processes.
Innovation Solution
An information processing apparatus that calculates average task completion times based on historical data and sends personalized reminder notifications to operators when deviations from these averages occur, enhancing attention and reducing delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mechanical fixed-timing notifications are sent to operators, then the notification system is simple to operate, but operator attention is reduced and task omissions/delays increase
Solution Approach 1:
The notification timing parameter is dynamically changed from fixed mechanical timing to variable timing based on actual workflow progress and historical data. The system calculates optimal notification moments by analyzing task completion patterns, allowing notifications to be sent at scientifically determined moments that maximize operator attention and minimize task omissions.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring task progress and using historical completion data to adjust notification timing. The notification system learns from past performance patterns and adapts its timing accordingly, creating a closed-loop system that improves task completion reliability while maintaining ease of operation.
2Device complexity
If notifications are sent at fixed timing, then the notification mechanism is simple, but task omissions and delays cannot be effectively prevented
Solution Approach 1:
The notification system performs self-optimization by automatically analyzing its own performance data and historical workflow patterns. The system calculates optimal notification timing based on accumulated data without requiring manual intervention, enabling it to improve workflow efficiency while maintaining relatively simple operational complexity.
Solution Approach 2:
The notification mechanism transitions from static fixed timing to dynamic adaptive timing. The system continuously adjusts notification moments based on real-time workflow status and historical patterns, making the notification mechanism flexible and responsive to changing conditions while preventing task omissions and delays.
3Loss of time
If average time calculation based on task history is implemented, then notification timing becomes optimized, but data processing complexity increases
Solution Approach 1:
The system performs preliminary data preparation by continuously collecting and organizing task history data in structured formats. Historical completion times are pre-processed and stored in accessible databases, enabling efficient calculation of average times when needed without creating excessive processing complexity during critical notification moments.
Solution Approach 2:
The system replaces complex manual analysis with automated computational algorithms. Statistical calculations for determining average task completion times are performed automatically by computer systems, reducing the perceived complexity by substituting mechanical data processing with algorithmic solutions that efficiently handle large datasets.
Data Source
AI summary
According to an embodiment, an information processing apparatus stores, for each workflow that defines an assignment order of tasks to be executed in sequence by a plurality of operators, a task history in which a type of the task executed by each of the operators and a date and time at which the task has been executed are associated with each other. The information processing apparatus calculates an average time for each type of the task from a time when an order is assigned to the operator to a time when the operator executes the task, on the basis of the stored task history. Further, the information processing apparatus sends a notification to an operator who has not performed the task at a timing based on the average time corresponding to the type of the task.