Project Scheduling Tool Forecasting via Time Deviation Analysis
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Solution Overview
Problem
Current project management software limitations lead to inaccurate forecasting of project completion dates, as they fail to account for actual project realities and ground conditions, resulting in schedule overruns and potential project failures.
Innovation Solution
A project scheduling tool that uses a graphical user interface to allow users to select representative time periods based on actual progress, calculate percentage time deviations, and extrapolate future completion dates, taking into account the relationships and resources across various project categories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional schedulers assume the remainder of work will proceed at the planned pace, then the forecasting process is simple and quick, but the forecasted finish dates are frequently inaccurate
Solution Approach 1:
The system implements feedback by continuously monitoring actual project progress and using this information to adjust and update finish date forecasts. The scheduler compares planned progress with actual progress, detects deviations, and recalculates forecasts based on real-time data, creating a closed-loop system that improves accuracy over time
Solution Approach 2:
The scheduling system transitions from static planned pace assumptions to dynamic forecasting that adapts to changing project conditions. The system automatically updates forecasts as actual progress data becomes available, allowing the forecasting mechanism to respond dynamically to ground realities rather than relying on fixed initial assumptions
2Reliability
If schedulers use simple planned pace assumptions, then the scheduling functionality is easy to operate, but the forecasts do not account for ground realities
Solution Approach 1:
The scheduler performs self-service by automatically collecting actual progress data, analyzing deviations from the plan, and generating updated forecasts without requiring manual intervention. The system serves itself by using its own progress tracking capabilities to improve its forecasting accuracy, eliminating the need for complex manual adjustments while maintaining high reliability
Solution Approach 2:
The system uses feedback from actual progress monitoring to automatically adjust forecasts. By continuously comparing planned versus actual progress and feeding this information back into the forecasting algorithm, the system improves reliability while keeping the user interface simple and easy to operate
Data Source
AI summary
Systems, methods, and other embodiments for providing scheduling of activities of a project plan associated with a computer application are described. In one embodiment, a project scheduling tool is configured to calculate a percentage time deviation, between an updated time duration and a planned time duration, for each present activity of a project to form a plurality of percentage time deviations. An arithmetic mean of the plurality of percentage time deviations is calculated and a planned time duration of at least one future activity of the project, related to each present activity, is transformed based on the arithmetic mean.