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Strategies to Improve Performance at a High-Turnover Engineering Organization
Conference proceeding   Open access   Peer reviewed

Strategies to Improve Performance at a High-Turnover Engineering Organization

William Dvorkin, Douglas Nelson and Christine Fiori
CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2015, v 64, pp 545-551
01 Jan 2015
url
https://doi.org/10.1016/j.procs.2015.08.560View
Published, Version of Record (VoR) Open

Abstract

Computer Science Computer Science, Information Systems Computer Science, Theory & Methods Science & Technology Technology
The Hybrid Electric Vehicle Team at Virginia Tech is an automotive engineering design team that competes in Advanced Vehicle Technology Competitions, sponsored by the U.S. Department of Energy and managed by Argonne National Laboratory. The team is comprised of graduate and undergraduate engineers who work together to reengineer a production vehicle to reduce its environmental impact while maintaining its marketability. As a student organization primarily encompassing seniors, who graduate and depart from the team at the end of each academic year, the Hybrid Electric Vehicle Team experienced an average annual turnover rate of 84%. A recently developed strategy currently being implemented reduces the turnover rate to 39%. Other projected benefits of this strategy include more experienced senior team members (733% increase), overall team schedule savings (17%), and better opportunities to evaluate future team members. The Hybrid Electric Vehicle Team is accomplishing these goals by reorganizing the team structure and implementing innovative onboarding strategies with new students. Together, these changes are transforming the Hybrid Electric Vehicle Team into a more sustainable organization that is better acclimated for the environment in which it operates. (C) 2015 The Authors. Published by Elsevier B.V.

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Web of Science research areas
Computer Science, Information Systems
Computer Science, Theory & Methods
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