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PUBLICATIONS

A Data-Driven Framework for Team Formation for Maintenance Tasks

Published

Author(s)

Maya Reslan, Emily Hastings, Michael Brundage, Thurston Sexton

Abstract

Even as maintenance evolves with new technologies, it is still a heavily human-driven domain; multiple steps in the maintenance workflow still require human expertise and intervention. Various maintenance activities require multiple maintainers, all with different skill sets and expertise, and from various positions and levels within the organization. Responding to maintenance requests, training exercises, or executing larger maintenance projects all can require maintenance teams. Having the correct assortment of individuals both in terms of skills and management experience can help improve efficiency of these maintenance tasks. This paper presents steps for creating teams of maintainers by adapting accepted practices from the human-computer interaction (HCI) community. These steps help account for the needs of maintainers and their management, while matching skills of the maintainers with needs of the activity.
Citation
International Journal of Prognostics and Health Management
Pub Type
Journals

Download Paper

Local Download

Keywords

maintenance, team formation
Process improvement and Manufacturing

Citation

Reslan, M. , Hastings, E. , Brundage, M. and Sexton, T. (2021), A Data-Driven Framework for Team Formation for Maintenance Tasks, International Journal of Prognostics and Health Management, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=930740 (Accessed October 13, 2025)

Issues

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Created February 15, 2021, Updated October 12, 2021
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