Adaptive Scheduling System with Effort-Scaled Gantt Chart
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Solution Overview
Problem
Current personal time management systems fail to provide a unified and responsive solution for individuals to visualize and manage interdependent schedule-influencing factors, leading to scheduling uncertainties, productivity issues, and increased stress, as they do not effectively account for frequent task changes, interruptions, and irregular working hours.
Innovation Solution
A personal adaptive scheduling system (PASS) that uses an effort-scaled bar chart to display interactions among appointments, activities, and interruptions, automatically adjusting schedules to prevent overlapping and incorporating interruption and adjustment experience factors to reschedule tasks based on actual effort and interruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple separate tools (To Do lists, calendars, Gantt charts) are used to manage different schedule elements, then each tool can be simple and focused, but the overall system becomes complex and requires continuous manual synchronization
Solution Approach 1:
The patent merges To Do lists, calendars, and Gantt charts into a single unified schedule management system. All these previously separate tools are integrated into one application context, allowing users to manage tasks, appointments, and schedules simultaneously without manual synchronization between separate tools.
Solution Approach 2:
The unified schedule management system performs multiple functions that were previously handled by separate tools. It can create and manage To Do lists, display calendar appointments, generate Gantt-style schedules, and provide forecasting capabilities all within a single system that adapts to different user needs.
2Reliability
If manual synchronization of multiple schedule tools is performed, then each tool can be kept current, but the effort and time required becomes overwhelming and unworkable
Solution Approach 1:
The system automatically maintains synchronization of schedule elements without requiring user intervention. When tasks, appointments, or schedule parameters change, the system self-updates all related views and calculations, eliminating the need for users to manually synchronize multiple tools while ensuring all schedule information remains current.
Solution Approach 2:
The system provides real-time feedback when schedule elements are modified. Changes in tasks, appointments, or time parameters automatically trigger updates throughout the schedule, with the system detecting and responding to changes to maintain consistency across all schedule representations without user effort.
3Measurement precision
If known work planning software forecasts schedules based on task dependencies and resource bottlenecks, then project phase completion dates can be anticipated, but the software does not respond instantly to changes in schedule factors or provide guidance on adjusting schedules
Solution Approach 1:
The schedule forecasting system is designed to be dynamic rather than static. It instantly responds to changes in schedule factors such as new tasks, modified deadlines, or resource availability changes by automatically recalculating and updating forecasts, completion dates, and schedule recommendations in real-time based on current conditions.
Solution Approach 2:
The system provides continuous feedback about schedule status, forecasting potential completion dates while also monitoring changes in schedule factors. When changes occur, the system detects them and provides updated forecasts and adjustment guidance, creating a responsive loop that adapts to changing conditions rather than providing fixed, outdated predictions.
4Measurement precision
If macro-level resource modeling is used for project management, then probable project phase completion dates can be calculated, but the approach does not provide sufficiently responsive or accurate guidance at the individual task level for workers with irregular working hours
Solution Approach 1:
The system segments the schedule management functionality to serve different levels of detail simultaneously. It provides macro-level project phase forecasting for project managers while also offering micro-level individual task scheduling, time tracking, and adjustment guidance for individual workers, allowing each user to access the granularity appropriate to their needs.
Solution Approach 2:
The system provides different levels of detail and forecasting accuracy at different levels of the schedule hierarchy. Project phases receive macro-level probabilistic forecasting, while individual tasks receive more detailed, worker-specific scheduling information that accounts for personal working hours, availability, and task dependencies, ensuring each user receives locally optimized information.
Data Source
AI summary
System and associated methods for calculating and displaying time management objects in the form of an effort-scaled, Gantt-style bar chart characterized by a series of flexible, time-zone-specific work intervals representing time spans within which effort may be focused on work events. Activity bar segments representing certain work events comprise temporal (e.g., horizontal) extents representing time potentially available for expending effort. Display features include sequential, cascading arrangement of activity bar segments in the chart, preserved by automatically preventing temporal overlapping of activity bar segments and by automatically resequencing and rescheduling activity bar segments in the chart (from earlier to later) when the activities' priorities (from top to bottom in the To Do list) are changed. Display features further include the ongoing calculation and application of an adjustment experience factor and/or interruption experience factor when scheduling future activities.