Task Management System for Intelligent Routing and Prioritization
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Solution Overview
Problem
Existing task management systems struggle to efficiently categorize, prioritize, and distribute tasks among workers, leading to inefficiencies and potential missed deadlines due to reliance on manual processes and individual memory.
Innovation Solution
A robust task management system that allows for seamless categorization and prioritization of tasks through the creation of different task queues, skill groups, and prioritizations based on customizable criteria such as urgency, complexity, or department, enabling intelligent task routing and outcome tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual task distribution methods are used, then supervisors can assign tasks to workers, but it requires significant time and effort from supervisors to balance workloads
Solution Approach 1:
The system enables automatic task distribution where the task management system itself performs the workload balancing without supervisor intervention. The system autonomously assigns tasks to workers based on their availability, skills, and current workload, eliminating the need for supervisors to manually balance workloads.
Solution Approach 2:
The manual mechanical process of supervisors distributing tasks is replaced by an automated computer-based system that uses algorithms to intelligently assign tasks. This substitution transforms the manual operation into an automated information processing system.
2Ease of operation
If tasks are assigned to workers manually, then task assignment can be made, but it is difficult to identify the most important task in a queue
Solution Approach 1:
The system uses visual indicators such as color coding and highlighting to display task priority levels. High-priority tasks are visually distinguished from lower-priority tasks, making it easy for workers to identify which tasks require immediate attention without relying on memory or manual assessment.
Solution Approach 2:
The system introduces an intermediary layer (the task management software) between the task queue and the worker that automatically analyzes and determines task priority based on predefined criteria, removing the need for workers to manually evaluate task importance.
3Productivity
If task queues are managed without automated routing, then workers can be assigned tasks, but tasks may remain in queues for extended periods while other workers are available
Solution Approach 1:
The system continuously monitors worker availability, task queue status, and workload distribution in real-time. This feedback mechanism enables the system to dynamically reassign tasks from overloaded workers to available workers, preventing tasks from stagnating in queues and ensuring optimal productivity.
Solution Approach 2:
The task assignment system is dynamic rather than static. It automatically adjusts task assignments based on changing conditions such as worker availability, task urgency, and current workload, allowing the system to respond to real-time changes and prevent task delays.
4Productivity
If supervisors manually re-distribute tasks, then task reallocation can occur, but it requires additional time and may not reach the most appropriate workers
Solution Approach 1:
The system performs automatic task reallocation without supervisor intervention. When a worker becomes unavailable or overloaded, the system autonomously reassigns their tasks to other appropriate workers based on skills, availability, and workload, eliminating the need for manual supervisor involvement in reallocation.
Solution Approach 2:
The manual process of supervisor-mediated task reallocation is replaced by an automated computer-based reallocation system that uses algorithms to determine the most appropriate worker for each task based on multiple criteria including skills, availability, and current workload.
Data Source
AI summary
Disclosed herein is a system which comprises a computing device including a non-transitory computer-readable storage medium configured to store an application program; and a processor coupled to the non-transitory computer-readable storage medium and configured to control a plurality of modules to execute instructions of the application program for accessing a plurality of tasks of the system. The system further comprises a computing server system configured to: create different task queues, skill groups, and prioritizations to organize the plurality of tasks based at least upon an urgency, a complexity, or a department of each task of the plurality of the tasks, present information related to each of the plurality of tasks, queue and route the plurality of tasks, and obtain task completion information related to each of the plurality of tasks.