Task Board Penetration Value Risk Visualization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Production environments face challenges in monitoring and managing multiple tasks effectively to ascertain the status of each process in relation to time requirements, making it difficult to identify potential delays or risks in task completion.
Innovation Solution
A production environment tool that calculates a penetration value for each task based on elapsed time, identifies a subset of tasks with lower penetration values, and provides a visual indication on a task board to alert observers of potential delays, using a fade line and color changes to represent tasks at risk of missing deadlines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple tasks are monitored using traditional methods, then task information can be recorded, but it becomes difficult to quickly ascertain the condition of each process and identify tasks at risk of missing deadlines
Solution Approach 1:
The patent applies color changes to visually indicate task risk levels. Tasks are displayed with different colors based on their penetration values, with red indicating high-risk tasks that are likely to miss deadlines. This allows observers to quickly identify problematic tasks without analyzing numerical data, directly addressing the contradiction by preserving task status information while dramatically improving monitoring efficiency through intuitive visual cues.
Solution Approach 2:
The patent transforms one-dimensional task data (penetration values) into a two-dimensional visual representation on a task board. By mapping penetration values to visual positions and colors, the system adds a spatial dimension to task monitoring, enabling observers to grasp the status of multiple tasks simultaneously rather than processing individual numerical values sequentially.
2Reliability
If detailed monitoring of all tasks is implemented, then complete task status can be tracked, but the complexity of the monitoring system increases
Solution Approach 1:
The patent extracts only the most critical information from complete task data - specifically, tasks with high penetration values that are at risk of missing deadlines. Rather than displaying or processing all task details, the system identifies and highlights only the subset of tasks requiring immediate attention, maintaining reliable monitoring of task completion while minimizing system complexity by focusing on critical cases only.
Solution Approach 2:
The patent segments the task monitoring function into two parts: a comprehensive background tracking of all tasks and a foreground highlighting of at-risk tasks. This segmentation allows the system to maintain complete task status information for reliability while presenting only the critical subset to users, thereby reducing the perceived complexity without sacrificing monitoring accuracy.
3Loss of information
If tasks are displayed without visual prioritization, then all task information is visible, but observers cannot quickly identify tasks falling behind schedule
Solution Approach 1:
The patent uses color changes to encode risk levels in task displays. Tasks with high penetration values (those likely to miss deadlines) are displayed in red, while lower-risk tasks use different colors. This allows observers to maintain access to complete task information while instantly detecting which tasks require urgent attention, directly resolving the contradiction between information completeness and detection ease.
Solution Approach 2:
The patent applies different visual qualities (colors, highlighting) to different tasks based on their individual risk characteristics. Rather than treating all tasks uniformly, the system adjusts the visual properties of each task according to its penetration value, enabling observers to quickly identify high-risk tasks while preserving access to details of all tasks through the differentiated visual presentation.
Data Source
AI summary
Disclosed are risk visualisation methods and systems of a production environment tool. Tasks are delivered to a task board in an arrangement that indicates how long the tasks have been on the board, that is, the defined time period. For each task, a penetration value is calculated which is derived from the time elapsed since the initiation time of the task as a percentage of the defined time period. A criterion of a percentile value of the tasks establishes a subset of the tasks that have lower penetration values. Then by determining a specific task in the subset of the sequence of tasks that is at the high end of the percentile value, a visual indication of that specific task on the board provides notice to an observer of the board of whether there is a risk that the resource is falling behind in task completion.


