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Engineering and Technology OPEN ACCESS

APPLICATION OF AI IN MAINTENANCE AND RELIABILITY MANAGEMENT

Adilzhan Jailaganov
Graduate Student, MSC Global Supply Chain Management, University Of Southern California, Los Angeles, USA
DOI Crossref DOI 10.37547/tajet/Volume06Issue07-10
tajet 2024
VOL. 6 / NO. 07 JULY
FULL TEXT PP. 94-98
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VOLUME 6
ISSUE 07
YEAR 2024
PAGES 94-98
RESEARCH OVERVIEW

Abstract

In today's world, Globalization and fast-growing economics force enterprises and governments to keep up with the times. Stakeholders are highly interested in reducing downtime, directly impacting profitability rates and customer satisfaction. Under that pressure, maintenance managers and other stakeholders should consider how to alter their current practices and make their systems more efficient and reliable. Many industrial organizations such as ExxonMobil, BP, Chevron, Equinor, Repsol, Total, and others have already invested in AI projects related to predictive analytics to increase reliability levels and optimize their supply chain operations (Tom Mostyn, 2019).

RESEARCH TOPICS

Keywords

Reliability management Application of AI ExxonMobil

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References

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