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 May 5, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
A Data-Driven Framework for Team Formation for Maintenance Tasks
Published
Author(s)
, Emily Hastings, ,
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
Keywords
maintenance, team formation
Citation
Created February 15, 2021, Updated October 12, 2021