Articles
| Open Access |
DOI: APPLICATION OF AI IN MAINTENANCE AND RELIABILITY MANAGEMENT
Adilzhan Jailaganov , Graduate Student, MSC Global Supply Chain Management, University Of Southern California, Los Angeles, USAAbstract
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).
Keywords
Reliability management, Application of AI, ExxonMobil
References
Tom Mostyn, 2019 https://www.hydrocarbonengineering.com/refining/26112019/top-oil-and-gas-companies-continue-to-expand-predictive-maintenance-usage/
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Christian Langer is a partner in McKinsey’s Hamburg office; Daniel Leblanc is a partner in the Dallas office; Dave Marcontell is an associate partner in the Atlanta office, where Joe Nutter is a consultant; Eric Porter is a consultant in the Boston office; and Joel Thibert, Aircraft maintenance companies and gen AI | McKinsey
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Copyright (c) 2024 Adilzhan Jailaganov
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