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A Data-Driven Framework for Team Formation for Maintenance Tasks
Maya Reslan1, Emily M Hastings2, Michael P Brundage1
1National Institute of Standards and Technology, Gaithersburg, MD 20814, USA.
International Journal of Prognostics and Health Management
|June 1, 2026
Summary
This study introduces a workflow to optimize maintenance team creation by matching personnel skills with task requirements. It adapts human-computer interaction practices for efficient team assembly in maintenance operations.
Area of Science:
- Engineering Management
- Human Factors Engineering
- Operations Research
Background:
- Maintenance is a critical, yet human-intensive, operational domain.
- Existing maintenance workflows often require diverse expertise and team collaboration.
- Optimizing team composition is key to enhancing maintenance efficiency.
Purpose of the Study:
- To present a novel workflow for assembling maintenance teams.
- To leverage human-computer interaction (HCI) principles for team formation.
- To provide a cost-effective method for aligning personnel skills with maintenance activities.
Main Methods:
- Adapted established practices from the human-computer interaction (HCI) community.
- Developed a systematic workflow for team composition.
- Focused on matching individual maintainer skills and management experience to task demands.
Main Results:
- The proposed workflow facilitates the creation of maintenance teams tailored to specific needs.
- It offers a structured approach to consider both technical skills and management experience.
- The method aims to improve the overall efficiency of maintenance tasks through optimized team assembly.
Conclusions:
- The workflow provides a practical and low-cost solution for maintenance team formation.
- It addresses the need for skilled personnel and effective management in maintenance operations.
- Implementing this approach can lead to more efficient and effective maintenance execution.
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