Dynamic Task Assignment for Distributed Workers
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Solution Overview
Problem
Conventional approaches to servicing assembly lines, whether proactive or reactive, face inefficiencies due to rigid task scheduling, leading to prolonged response times and travel inefficiencies, as they do not account for worker proximity and skill levels in real-time, resulting in uneven distribution of service personnel and potential misallocation of tasks.
Innovation Solution
An electronic method for dynamically assigning tasks to workers based on their profiles and current locations, using electronic circuitry that considers proximity, skill levels, and task requirements, allowing for real-time prioritization and reassignment, suitable for various environments like assembly lines, hospitals, and field services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proactive task scheduling is used, then task completion is ensured, but response time to unexpected issues increases
Solution Approach 1:
The patent implements dynamic task assignment that adjusts in real-time based on worker location, skill level, and task urgency. The system continuously monitors assembly line conditions and reassigns tasks dynamically, allowing the schedule to adapt to unexpected issues while maintaining overall task completion reliability.
Solution Approach 2:
The system incorporates real-time feedback loops where task status, worker location, and assembly line conditions are continuously monitored and fed back to the assignment algorithm. This enables the system to respond to unexpected issues immediately while tracking overall task completion progress.
2Loss of time
If service people are distributed throughout the work area, then response time to tasks is reduced, but travel distance between tasks increases
Solution Approach 1:
The patent assigns tasks based on local worker characteristics including current location and skill level. Workers are optimally positioned and assigned tasks in their immediate vicinity, reducing travel distance while maintaining quick response times through localized task distribution.
Solution Approach 2:
The system performs preliminary positioning of workers throughout the work area based on predicted task needs and worker capabilities. By pre-positioning workers strategically before tasks arise, the system minimizes both response time and travel distance when tasks are assigned.
3Ease of operation
If rigid task lists are provided to service people, then task organization is improved, but adaptability to real-time changes decreases
Solution Approach 1:
The patent replaces static task lists with dynamic task assignments that are continuously updated based on real-time conditions. The system maintains organized task management through structured assignment protocols while simultaneously adapting to changes in worker availability, location, and task urgency.
Solution Approach 2:
The system uses real-time feedback from assembly line conditions and worker status to continuously adjust task assignments. This maintains organized task management through systematic assignment while enabling immediate adaptation to changing conditions through continuous monitoring and reassignment.
4Speed
If the next available service person is dispatched, then deployment speed is increased, but task qualification matching deteriorates
Solution Approach 1:
The patent changes the assignment parameters from simple availability-based dispatch to a multi-parameter optimization that includes skill level matching, current location, and task requirements. The system rapidly evaluates multiple parameters simultaneously to assign tasks to the most qualified available worker, maintaining deployment speed while improving qualification matching.
Solution Approach 2:
The patent replaces the manual or simple automated dispatch mechanism with an intelligent assignment system that uses electronic circuitry to rapidly evaluate worker profiles against task requirements. This substitution enables fast automated assessment of multiple qualification parameters simultaneously, maintaining speed while improving matching accuracy.
Data Source
AI summary
A technique assigns tasks to workers within a work area. The technique utilizes electronic circuitry which can be disposed at a single location (e.g., a server), or distributed among multiple locations (e.g., in the cloud). The technique involves receiving task entries which (i) identify tasks in need of attention and (ii) define task requirements for performing the tasks. The technique further involves generating task assignments based on matching the task entries to worker profiles which (i) identify workers who are available for task assignment and (ii) define worker characteristics of the workers. The technique further involves providing the task assignments to the workers while the workers are distributed among different locations within the work area. The task assignments direct the workers to perform the tasks identified by the task entries in accordance with the task requirements defined by the task entries.