18359930. Qualification-Based Task Management simplified abstract (Oracle International Corporation)
Contents
- 1 Qualification-Based Task Management
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Qualification-Based Task Management - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
Qualification-Based Task Management
Organization Name
Oracle International Corporation
Inventor(s)
Robert St. Pierre of Campbell CA (US)
Mark Pearson of Redwood Shores CA (US)
Qualification-Based Task Management - A simplified explanation of the abstract
This abstract first appeared for US patent application 18359930 titled 'Qualification-Based Task Management
Simplified Explanation
The patent application describes techniques for implementing a qualification-based task management system in a work environment. Here is a simplified explanation of the abstract:
- The system identifies pending tasks for users based on their qualifications and available equipment.
- Tasks are filtered based on user qualifications and work center equipment.
- Machine learning is used to match tasks with users or recommend qualifications for tasks.
Potential Applications
This technology could be applied in various industries where task management based on user qualifications is essential, such as manufacturing, healthcare, and construction.
Problems Solved
1. Efficient task assignment based on user qualifications. 2. Optimizing task completion by matching tasks with the most qualified users.
Benefits
1. Improved productivity and task completion rates. 2. Enhanced user satisfaction by assigning tasks that match their qualifications. 3. Streamlined workflow by automating task assignment processes.
Potential Commercial Applications
"Qualification-Based Task Management System for Work Environments" could be used in industries where efficient task assignment is crucial, such as manufacturing plants, hospitals, and construction sites.
Possible Prior Art
Prior art may include existing task management systems that assign tasks based on user qualifications, but the use of machine learning to recommend qualifications or users for tasks may be a novel aspect of this technology.
Unanswered Questions
How does the system ensure data privacy and security when matching tasks with users based on qualifications?
The article does not address the specific measures taken to protect user data and ensure confidentiality in the task assignment process.
What are the potential limitations or challenges of implementing a qualification-based task management system in a work environment?
The article does not discuss any obstacles or drawbacks that may arise when implementing this technology, such as resistance from users or integration issues with existing systems.
Original Abstract Submitted
Techniques for implementing a qualification-based task management system in a work environment are disclosed. When a user logs in to a work center terminal, a system identifies a set of pending tasks that need to be completed. The system filters the tasks available to the user based on the user's qualifications and the equipment present at the work center. When the system identifies a task for which there is not a set of users with matching qualifications, the system applies a machine learning model to the task parameters to identify candidate users or recommended qualifications for performing the task.
