Artificial Intelligence for Enhancing the Effectiveness of Engineering Asset Management

The integration of Artificial Intelligence (AI) into engineering asset management has the potential to significantly enhance decision-making processes, optimize resource allocation, and improve overall outcomes of industrial organizations. This paper explores the role of AI in engineering asset management, focusing on its applications, benefits, and challenges. The paper presents a simulation module that demonstrates the effectiveness of AI-driven strategies in managing engineering assets. Results from the simulation indicate that AI can lead to improved efficiency, reduced costs, and enhanced asset performance. The findings underscore the importance of adopting AI technologies in engineering asset management to meet the demands of modern complexity in managing assets/infrastructure in production or service organizations.

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Publication Details

Journal
AlQalam Journal of Medical and Applied Sciences
Published
2025-08-11
DOI
https://doi.org/10.54361/ajmas.258359
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence for Enhancing the Effectiveness of Engineering Asset Management

Othman Omran Khalifa, A. A. Salem, Khaled El-Aktuti
AlQalam Journal of Medical and Applied Sciences
Occupational Health and Safety Research
article

Artificial Intelligence for Enhancing the Effectiveness of Engineering Asset Management

Othman Omran Khalifa, A. A. Salem, Khaled El-Aktuti
article en

Abstract

The integration of Artificial Intelligence (AI) into engineering asset management has the potential to significantly enhance decision-making processes, optimize resource allocation, and improve overall outcomes of industrial organizations. This paper explores the role of AI in engineering asset management, focusing on its applications, benefits, and challenges. The paper presents a simulation module that demonstrates the effectiveness of AI-driven strategies in managing engineering assets. Results from the simulation indicate that AI can lead to improved efficiency, reduced costs, and enhanced asset performance. The findings underscore the importance of adopting AI technologies in engineering asset management to meet the demands of modern complexity in managing assets/infrastructure in production or service organizations.

AlQalam Journal of Medical and Applied Sciences
Libyan Academy (LY)
Openalex Percentile: Top 71%
Occupational Health and Safety Research
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Artificial Intelligence for Enhancing the Effectiveness of Engineering Asset Management — Othman Omran Khalifa, A. A. Salem, et al. · AlQalam Journal of Medical and Applied Sciences (2025) | TGRS Research Map | TGRS