International business machines corporation (20240193649). TASK AUTOMATION AND SCHEDULING simplified abstract
Contents
- 1 TASK AUTOMATION AND SCHEDULING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TASK AUTOMATION AND SCHEDULING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Commercial Applications
- 1.9 Prior Art
- 1.10 Frequently Updated Research
- 1.11 Questions about Task Pattern Optimization
- 1.12 Original Abstract Submitted
TASK AUTOMATION AND SCHEDULING
Organization Name
international business machines corporation
Inventor(s)
Martin G. Keen of Cary NC (US)
Zachary A. Silverstein of Georgetown TX (US)
Melanie Dauber of Oceanside NY (US)
John M. Ganci, Jr. of Raleigh NC (US)
TASK AUTOMATION AND SCHEDULING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240193649 titled 'TASK AUTOMATION AND SCHEDULING
Simplified Explanation
The patent application discusses deriving a task pattern from activity monitoring data, identifying a candidate task pattern based on completion variability, and determining the optimum time to perform the task pattern.
- The innovation involves analyzing activity monitoring data to derive a task pattern and identifying a candidate task pattern based on completion variability.
- Performance data of the system used in performing the candidate task pattern is analyzed to determine the optimum time to perform the task pattern.
- If the candidate task pattern is started earlier than the optimum time, it is delayed until the optimum time for performance.
Potential Applications
This technology could be applied in various fields such as healthcare, manufacturing, and logistics where optimizing task performance timing is crucial.
Problems Solved
This technology addresses the issue of variability in task completion by identifying and optimizing the timing of task patterns.
Benefits
The benefits of this technology include improved efficiency, productivity, and performance by ensuring tasks are performed at the optimum time.
Commercial Applications
Optimizing task performance timing can have significant commercial implications in industries where efficiency and productivity are key factors for success.
Prior Art
Prior art related to this technology may include research on task optimization, performance analysis, and activity monitoring systems.
Frequently Updated Research
Research on performance optimization, task scheduling algorithms, and real-time monitoring systems may be relevant to this technology.
Questions about Task Pattern Optimization
How does this technology improve task performance efficiency?
This technology improves task performance efficiency by analyzing completion variability and determining the optimum time for task execution.
What industries can benefit the most from optimizing task performance timing?
Industries such as healthcare, manufacturing, and logistics can benefit the most from optimizing task performance timing to enhance efficiency and productivity.
Original Abstract Submitted
by analyzing activity monitoring data, a task pattern comprising a set of one or more tasks is derived. the task pattern is identified as a candidate task pattern responsive to determining that a completion variability in the task pattern is above a threshold amount. by analyzing performance data of a system used in performing the candidate task pattern, an optimum time at which to perform the candidate task pattern is identified. responsive to detecting commencement of performance, at a time earlier than the optimum time, the candidate task pattern is delayed. the candidate task pattern is performed at the optimum time.
