Dynamic Task Distribution for Medical Imaging Maintenance
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Solution Overview
Problem
In medical device maintenance, reactive maintenance services face inefficiencies due to unpredictable issue reporting and varying resolution times, leading to idle time for some Remote Service Engineers (RSEs) while others are busy for extended periods, and expertise may not be optimally utilized.
Innovation Solution
A fault-finding tree system that divides tasks into groups and assigns them to RSEs based on availability and expertise, with a lead RSE overseeing progress and dynamically updating task assignments, ensuring concurrent task performance and efficient resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed number of RSEs are assigned per day to resolve all issues, then resource allocation is simplified, but idle time increases for some RSEs while others are overloaded
Solution Approach 1:
The system dynamically adjusts task assignments based on real-time RSE availability, current workload, and expertise matching. The task distribution mechanism continuously adapts to changing conditions rather than using static allocation, allowing the system to optimize productivity while maintaining ease of operation through automated dynamic balancing.
Solution Approach 2:
The system changes the parameters of task assignment by considering multiple factors including RSE availability status, current task load, expertise level, and task complexity. By adjusting these parameters dynamically, the system optimizes both productivity and operational ease without requiring manual intervention.
2Reliability
If one RSE is assigned to resolve one issue at a time, then expertise utilization is improved, but total resolution time increases due to sequential processing
Solution Approach 1:
The system segments issues into multiple independent tasks that can be distributed to different RSEs simultaneously. By breaking down complex issues into smaller task components, the system enables parallel processing while maintaining expertise matching, thereby reducing total resolution time without sacrificing the quality of expertise utilization.
Solution Approach 2:
The system merges multiple tasks that can be executed in parallel by different RSEs working on the same overall issue. This combination of parallel task execution maintains expertise matching for each task while significantly reducing the total time required to resolve the complete issue.
3Productivity
If tasks are divided into groups and assigned to multiple RSEs concurrently, then resolution time is reduced, but task coordination and management complexity increases
Solution Approach 1:
The system introduces an automated task management intermediary that handles the complexity of coordinating multiple RSEs and tasks. This intermediary component automatically manages task distribution, progress tracking, and coordination, thereby enabling concurrent task execution and improved productivity without requiring complex manual management procedures.
Solution Approach 2:
The system implements automated feedback mechanisms that continuously monitor task progress and RSE availability. This feedback loop enables the system to dynamically adjust task assignments and coordination automatically, reducing the perceived management complexity while maintaining high productivity through real-time adjustments.
Data Source
AI summary
A non-transitory computer readable medium (107, 127) stores a fault-finding tree (130) comprising data related to a maintenance issue of one or more medical imaging devices (120), and instructions readable and executable by at least one electronic processor (101, 113) to: fill in information for nodes (132) of the fault-finding tree which can be completed to identify tasks to be performed for a current service case involving a current medical imaging device; divide the tasks to be performed into a plurality of groups; assign each group to a corresponding service engineer (SE) to perform the tasks in the group; and display, on a display device (105) of a remote electronic processing device (102) operable by the SE, a user interface (UI) (138) showing assignments of the groups to the corresponding SEs.