research-article
Authors: Megashnee Munsamy, Arnesh Telukdarie, and Mpho Manenzhe
Published: 02 July 2024 Publication History
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Abstract
Human resource in maintenance remains a challenge in the overall business labor budget, labor costs, and the management thereof. This study aims to develop a model for maintenance management which fosters an optimum human resource in maintenance. The study uses system dynamics modeling to determine the maintenance management system's behavior. The 4IR technologies are integrated into this model and simulations are conducted to determine the 4IR technologies’ impact analysis using descriptive statistics. Post these simulations, the results revealed that the implementation of 4IR technologies yields an overall gain in maintenance human resource optimization by 27.46% gain when compared to a similar system of maintenance management without the 4IR technologies’ deployment. Another benefit of the 4IR technologies deployment is analyzed using standard deviation and found to foster a predictive maintenance strategy. This study concludes that the predictive maintenance strategy intensifies the optimization of the overall human resource in maintenance.
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Published In
Procedia Computer Science Volume 232, Issue C
2024
3296 pages
ISSN:1877-0509
EISSN:1877-0509
Issue’s Table of Contents
Copyright © 2024.
Publisher
Elsevier Science Publishers B. V.
Netherlands
Publication History
Published: 02 July 2024
Author Tags
- Human resources optimization
- Digital Technologies
- Maintenance Labour
- Optimal maintenance execution
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