Oracle international corporation (20240127140). Qualification-Based Task Management simplified abstract

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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 20240127140 titled 'Qualification-Based Task Management

Simplified Explanation

The patent application describes techniques for implementing a qualification-based task management system in a work environment. When a user logs in to a work center terminal, the system identifies pending tasks and filters them based on the user's qualifications and available equipment. If a task does not have matching qualified users, a machine learning model is applied to identify candidate users or recommended qualifications for the task.

  • The system filters tasks based on user qualifications and available equipment.
  • Machine learning model is used to identify candidate users or recommended qualifications for tasks without matching qualified users.

Potential Applications

The technology can be applied in various industries where task management based on user qualifications is crucial, such as manufacturing, healthcare, and construction.

Problems Solved

1. Efficient task allocation based on user qualifications. 2. Improved productivity by matching tasks with the most suitable users.

Benefits

1. Optimal task assignment leading to higher efficiency. 2. Reduced errors and rework due to qualified task allocation.

Potential Commercial Applications

"Qualification-Based Task Management System in Work Environments" can be utilized in industries requiring precise task allocation, such as manufacturing plants, hospitals, and construction sites.

Possible Prior Art

There may be existing systems that focus on task management based on user qualifications, but the specific combination of filtering tasks based on qualifications and equipment, as well as using machine learning for task assignment, may be novel.

Unanswered Questions

How does the system ensure data privacy and security of user qualifications and task information?

The patent application does not provide details on the measures taken to protect sensitive data within the system. Implementing robust encryption protocols and access controls could address this concern.

What is the scalability of the system in handling a large number of tasks and users simultaneously?

The scalability of the system in managing a high volume of tasks and users concurrently is not discussed in the patent application. Implementing efficient database management and load balancing techniques could address this issue.


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.