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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 summary is machine-generated.

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.

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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.