1st Australian International Conference on Industrial Engineering and Operations Management

What did I forget? An investigation into refresher training intervals for a multi-skilled maintenance workforce

Andrew Stark, Amany Akl, Hasan Turan & Sondoss El Sawah
Publisher: IEOM Society International
0 Paper Citations
Track: Undergraduate Student Paper Competition

Base intuition tells us that if you don’t keep practicing a given skill set, it will continue to degrade the longer it goes unused. What does this mean for a skill set that only gets used infrequently? How can one be assured that when they need their skills, that they will be in a state that is reliable? This point becomes even more important when the skills set belongs to a technically skilled worker, within a maintenance facility. Not only does this affect the quality of the work produced, but also the time taken to perform the task. In this study, learning curve theory is applied to the workforce of a military maintenance facility to firstly, identify the changes to job task time that can be expected due to knowledge and skill degradation, and secondly, to determine training intervention types that address the loss of knowledge and/or skill. Through the use of computational experimentation based on Discrete Event Simulation maintenance model output, it was observed that without refresher training intervention, job completion times increased between 14% and 27%. With intervention applied, this increase in completion time can be reduced and maintained at levels as low as 4.14%.

Published in: 1st Australian International Conference on Industrial Engineering and Operations Management, Sydney, Australia

Publisher: IEOM Society International
Date of Conference: December 21-22, 2022

ISBN: 979-8-3507-0542-3
ISSN/E-ISSN: 2169-8767