A Data-Driven Framework for Team Formation for Maintenance Tasks

Maya Reslan, Emily Hastings, Michael P. Brundage, and Thurston Sexton
Publication Target: 
IJPHM
Publication Issue: 
1
Submission Type: 
Technical Brief
AttachmentSizeTimestamp
ijphm_21_003.pdf231.49 KBFebruary 16, 2021 - 7:09am

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 the efficiency of these maintenance tasks. This paper presents a workflow for creating teams of maintainers by adapting accepted practices from the human-computer interaction (HCI) community. These steps provide a low-cost solution to help account for the needs of maintainers and their management, while matching skills of the maintainers with the needs of the activity.

Publication Year: 
2021
Publication Volume: 
12
Publication Control Number: 
003
Page Count: 
10
Submission Keywords: 
maintenance
Team Formation
Maintenance Workflow
Submission Topic Areas: 
Standards and methodologies
Submitted by: 
  
 
 
 

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